Databricks ADBC connector for Power BI and Microsoft Fabric (Generally Available)
This release is part of the broader ODBC-to-ADBC transition for Power Query connectors described in the Transition from ODBC to ADBC drivers in Power BI and Microsoft Fabric documentation. What’s new Existing connections in your semantic models, dataflows, and paginated reports continue to work unchanged — the migration path is currently opt-in per connection, per workspace, or per tenant. Highlights: Improved security - ADBC drivers incorporate security enhancements, such as memory safety and garbage collection. No changes to existing behavior - This transition moves away from the embedded ODBC drivers that ship with Power BI. It does not change behavior for the ODBC connector when you use a separately installed ODBC driver. Efficient large dataset support - ADBC provides a set of standard interfaces for interacting with Arrow data, which is especially efficient at fetching large datasets with minimal overhead and no serialization or copying. Supported authentication - Databricks ADBC supports OAuth (user), OAuth (M2M / Client Credentials), and Microsoft Entra ID. Connectors covered by this release Connector Previous driver New driver (GA) Databricks Simba Spark ODBC Databricks ADBC Azure Databricks Simba Spark ODBC Databricks ADBC How to try it You can test the ADBC driver now. We suggest you start soon to help ensure the eventual deprecation of ODBC and migration to ADBC runs smoothly. There are three ways to begin validating ADBC, ordered by how much control you want. 1. Opt in per connection using Implementation="2.0" The fastest way to compare ADBC and ODBC for a specific report or dataset. Add the Implementation="2.0" option to the source step in your Power Query expression: Source = Databricks.Catalogs("adb-1234567890.1.azuredatabricks.net", "/sql/1.0/warehouses/<warehouse-id>", [Implementation="2.0"]) Refresh the dataset and compare row counts, column types, and totals against your production baseline. If you want to force a side-by-side comparison against ODBC, use Implementation="1.0" . 2. Override the default for a validation workspace If you want to validate several reports together, a workspace admin can turn ADBC on for a single workspace while the rest of the tenant continues to use the legacy driver. Publish the reports you want to test into that workspace and run your normal refresh schedule. 3. Enable ADBC by default at the tenant level When you’re confident with the results, the tenant admin can enable Users can connect to data sources by using Apache Arrow database connectivity (ADBC) in the Admin portal. New connections across the tenant will use the ADBC driver by default, and Desktop and the service stay aligned on the same driver. What to expect during validation The ADBC driver is designed as a compatibility-preserving replacement for the Simba Spark ODBC driver. Validate your key reports in Desktop before enabling ADBC at the tenant level and report any regressions to [email protected]. Explore Transition from ODBC to ADBC drivers in Power BI and Microsoft Fabric for more information. What’s next The Power BI service will move from ODBC to ADBC through the first quarter of 2027. We recommend that you start validating today, so the tenant-level move is a non-event when it lands. We’d love your feedback Try the new Databricks ADBC driver. If anything looks different from what you'd expect — a refresh that fails, a total that changed, a performance regression — send the tenant ID, connector, M expression, and what you observed to [email protected]. Get started this week: Read the Databricks connector documentation. Install the latest Power BI Desktop. Pick one production report on Databricks and add Implementation="2.0" to its source step. Compare row counts, column data types, and key totals against your production baseline. Report anything unexpected to [email protected].Power BI September 2026 Feature Summary
As the Power BI, Microsoft Fabric, data, and analytics community gathers in Barcelona for the European Microsoft Fabric + SQL Community Conference, this month is packed with news. From new Copilot and AI experiences to reporting, modeling, data connectivity, developer enhancements, and mobile updates, we're sharing the latest innovations designed to help you build, analyze, and act on your data more effectively. Whether you're joining us in person or following along from afar, this roundup is your guide to everything new across Power BI this month. General Deprecation of Old File Picker experience in Power BI Desktop In April we deprecated the old file picker experience in Power BI Desktop. Starting in October, users using versions of Power BI Desktop from March 2026 or earlier will no longer be able to save and share Power BI files to OneDrive and SharePoint. Please ensure you update Power BI Desktop to keep using this functionality. Copilot and AI Power BI Agentic Experiences (Generally Available) Agentic development in Power BI is real, and it is already delivering value: whether you are starting from scratch with greenfield projects or building upon existing solutions in brownfield scenarios, BI developers can delegate the work to an agent, review the result, and refine it rather than starting from scratch every time. What makes this work is tools and context. Through Work IQ and Fabric IQ, the agent grounds its work in your business context—your data, your semantics, and the way your organization operates. Through skills—published by Microsoft in skills-for-fabric, shared by the community, or personalized by your own team—it also picks up your development context: the modeling and reporting practices, conventions, and workflows your team expects. Through tools such as the Power BI Authoring MCP server and the Power BI Desktop Bridge CLI, the agent can act on that context: reading and changing semantic models and reports directly, reloading its edits in Power BI tools, and reviewing its own work. Point an agent at a requirements document or a screenshot of the layout you want, describe what you need, and the agent can help accelerate the initial authoring pass, which you can then review and refine. rt authoring skills. What's available today The powerbi-authoring plugin in microsoft/skills-for-fabric bundling the semantic modeling and reporting agent skills and tools. It was recently updated to support report authoring for remote semantic models in Power BI service and an expanded range of supported report visuals, including custom visuals. To learn more, refer to the Power BI skills documentation. The local Power BI Authoring MCP server allows the agent to edit semantic models in Power BI Desktop. To learn more, refer to the Power BI Authoring MCP documentation. Power BI Desktop Bridge lets an agent reload changes in a running instance of Power BI Desktop and capture screenshots to check its own work. To learn more, refer to the Power BI Desktop Bridge documentation. Browser-based validation for remote report editing, so the agent can validate a report using a headless browser (an automated browser that runs without a visible user interface). Removing the local Power BI Desktop dependency allows the full authoring loop to run without Power BI Desktop, extending the agentic experience to Mac users and others who do not rely on a local installation. To learn more and get started, refer to the Power BI agentic documentation. Microsoft 365 Copilot is coming to Power BI (Preview) Copilot experiences have emerged across the applications people use every day, bringing AI closer to the work happening in each product. But this can also feel fragmented, with different entry points, separate conversations, and uncertainty about which Copilot agent to use. Our goal is to create a consistent Copilot experience that is available wherever people work. People should not have to leave the application they are using to find it. Microsoft 365 Copilot should be available within their experience, carry relevant context across experiences, and connect to the specialized intelligence of each product. We’re taking an important step toward that goal with a preview of Microsoft 365 Copilot integrated directly into Power BI and Microsoft Fabric. This integration gives users a familiar place to bring together business context and trusted data. Shared conversation history lets them continue a discussion as they move between Microsoft 365 Copilot experiences instead of starting over in each application. ower BI experience, including integration with Work IQ. In Power BI, a question no longer has to stop with the numbers in a report. A sales leader could use Fabric IQ to identify which regions are behind plan, then use Work IQ to connect the results with customer emails, meetings, account plans, and documents. They could summarize the complete picture and even kick off actions and tasks in Cowork, all from inside Power BI. This work context and ability to move directly from insight to action were not available in the standalone Power BI Copilot experience. the Cowork integration into the Power BI experience, highlighting the full Microsoft 365 experience embedded into Power BI. A new setting in the Fabric admin portal will determine whether this integration is available by enabling or disabling its entry point in the navigation pane. It will be off by default, giving administrators time to evaluate the experience before introducing it to their organization. Administrators can enable it when they are ready and disable it if they need to pause access. This setting is independent of the existing setting for standalone Power BI Copilot. If both settings are enabled, users with a Microsoft 365 Copilot license will see entry points for both experiences, and standalone Power BI Copilot will continue to appear on Home. If standalone Power BI Copilot is disabled and Microsoft 365 Copilot is enabled, users will see only the Microsoft 365 Copilot entry point. During the initial preview, the integrated experience is available only to users with a Microsoft 365 Copilot license. These users receive the full Copilot Chat experience in Power BI and Fabric, bringing together Fabric data through Fabric IQ and relevant Microsoft 365 context through Work IQ. Existing permissions and governance controls continue to determine which content each user can access. Support for a broader Fabric audience will follow. This expansion will give Fabric users without a Microsoft 365 Copilot license access to an integrated Copilot experience tailored to their available capabilities. The experience may differ from the full licensed offering, but it will extend Fabric IQ and conversational data experiences to more types of Fabric users. The preview will roll out with the setting turned off by default, with administrators choosing when to enable it for their organization. This is an important step toward one Copilot that meets people wherever they work, connecting the context surrounding each decision with trusted business data. To learn more, refer to the Copilot in Power BI documentation. Power BI data answers in Microsoft Copilot Chat (Generally Available) Users can find and ask questions about Power BI reports and semantic models directly from Microsoft 365 Copilot. They can search for relevant Power BI content, attach a report or provide a link, and ask questions in natural language. Powered by Fabric IQ, the experience uses the data, measures, relationships, and business logic already defined in Power BI to provide grounded answers. Users can also bring Power BI insights into conversations that include their Microsoft 365 work context, such as emails, meetings, and documents. Microsoft 365 Copilot now supports Microsoft Purview Data Loss Prevention (DLP) policies and information protection controls for this experience. This helps organizations adopt conversational analytics while applying their existing policies for identifying, classifying, and protecting sensitive data. The experience continues to respect existing Power BI permissions and Microsoft 365 governance controls. Users can only access Power BI content they are authorized to view, and administrators retain control over whether Fabric data is available in Microsoft 365 Copilot. Organizations can use Power BI data answering in Microsoft 365 Copilot with production support and service commitments. This milestone makes it easier for users to bring trusted business data into the flow of work without leaving Microsoft 365 Copilot or creating a separate agent. To learn more, refer to the Fabric IQ in Microsoft 365 Copilot Chat (Frontier) documentation. Fabric IQ Plugin in Microsoft 365 Copilot Cowork (Generally Available) Power BI data is available where multi-step work happens, so a business question, the analysis behind it, and the follow-up it triggers stay in one place. To ground a task in Power BI, users can search for relevant content, attach a report, or paste a link to a report or semantic model. Questions are answered using the data, measures, relationships, and business logic already defined in the semantic model. Coverage now extends to reports published through organizational apps, with improvements to content discovery, large model handling, schema selection, Verified Answers, and row-level value search. The plugin also carries forward the governance controls organizations rely on in Power BI: Existing access controls: Power BI permissions and row-level security determine which reports and semantic models each user can reach. Citations and sensitivity labels: Responses cite the Power BI content behind an answer and surface the Microsoft Purview Information Protection label applied to it, so users can see where a number came from and how it is classified. From insight to action: With Fabric IQ, users can analyze Power BI reports using natural language, uncover key findings, and put those findings to work right away in Cowork. Whether they are summarizing business performance, investigating a trend, or answering a data question, Fabric IQ turns trusted organizational data into outcomes. To learn more about supported scenarios, setup, and current considerations, refer to the Fabric IQ in Microsoft 365 Copilot Cowork documentation. For licensing and pricing information, refer to Microsoft 365 Copilot plans and pricing. Build Fabric Apps more easily in GitHub Copilot App (Preview) Fabric Apps were introduced in June as an AI-first way to build custom web apps with Microsoft Fabric as the backend. This month we’re excited to share that building these Fabric Apps on your governed data has become even easier with the GitHub Copilot App, which gives you a natural language chat interface instead of a command-line interface. . To try it out, start by downloading the GitHub Copilot App. Then navigate to Customize > Plugins > Rayfin, and select Install to enable our dedicated plugin: Rayfin plugin in GitHub Copilot App. Once the plugin is enabled, simply start a new chat and work with Copilot to help plan your Fabric data app. After you review and approve the plan, ask the agent to execute it and specify the workspace where you want to deploy the app. . We look forward to seeing the amazing apps you build! Check out our community gallery for inspiration. Enhanced Report Consumption Copilot with Fabric IQ When viewing a Power BI report, you can enable Fabric IQ from the Copilot pane to better answer complex questions about your data. This enhancement merges existing Fabric IQ capabilities into Power BI Copilot report viewing mode, allowing Copilot to use a multi-step approach to evaluate data in the semantic model and refine its approach when generating a response. . With Fabric IQ enabled, Copilot can: Provide better answers to questions about your data based on detailed reasoning capabilities directly into the report viewing experience. Show reasoning steps to help you understand how Copilot provided an answer. Generate Fabric visuals to help you further analyze your data. Answers can include column, bar, stacked, line, area, pie, donut, scatter visuals. Provide the underlying DAX query and data table used to generate a response. . To learn more, refer to the Ask Copilot questions about your data documentation. New control for Copilot access to semantic models Power BI now provides semantic model editors with greater control over how Copilot can be used with their data. Users with write permissions can block read-only users from accessing a semantic model through Copilot and Microsoft’s remote MCP tools, supporting governance, compliance, and access-control requirements. The setting applies across Copilot experiences that query the semantic model, including Power BI Copilot experiences; Microsoft 365 Copilot Chat and Cowork; and data agents, remote Fabric MCP servers, and Power BI MCP servers. When disabled, users with read-only access won't be able to access that semantic model through these experiences. By default, the setting remains enabled to preserve the current behavior. This setting appears in the Copilot section with the following description: “Allow any person with read-only access to use AI (i.e. Copilot, Microsoft’s MCP tools) on the model and its related reports.” Setting that allows people with read-only permission to use AI experiences with the semantic model and its related reports. This update gives organizations a clear and enforceable way to control AI access to semantic model data while maintaining flexibility for semantic model editors. To learn more, refer to the Use Copilot with Semantic Models in Power BI documentation. Remote Power BI Authoring MCP Server (Preview) The Power BI Authoring MCP enables AI applications to create and modify semantic models in Fabric workspaces, without installing or maintaining anything local. This release also unblocks Mac users that want to use the Power BI Authoring MCP, because the server runs remotely and does not require local binaries. Use the following endpoint in AI applications such as GitHub Copilot App: https://api.fabric.microsoft.com/v1/mcp/powerbi/authoring The local Power BI Authoring MCP server, released in November 2025, remains generally available. It remains an option when an agent needs to work with Power BI Desktop, Power BI Project (PBIP) or TMDL files on disk. The local and remote servers support the same authoring capabilities. We recommend using the remote server when local development is not required, such as when creating a Direct Lake semantic model in a Fabric workspace. In the following example, the AI agent uses one tool call to create a Direct Lake semantic model connected to a Fabric Lakehouse: To learn more, refer to the Power BI Authoring MCP server documentation. Reporting New Report Ribbon on the web (Preview) The Report ribbon is now available on the web, providing a consistent experience for report consumption and authoring that more closely matches Power BI Desktop. The ribbon organizes commands into clear, easy-to-navigate tabs, making it easier for users to discover features, interact with reports, and complete editing and authoring tasks directly in the browser. It also introduces the new Design ribbon and additional capabilities that were previously unavailable on the web, such as Format Painter. This milestone brings greater consistency to Power BI report-authoring experiences and marks an important step toward a seamless, end-to-end reporting workflow on the web. As web authoring capabilities continue to expand, users will be able to accomplish more of their reporting tasks directly in the browser, enabling a more streamlined, productive workflow. Enable the Try the new ribbon (preview) at the top of the page to explore the new experience. You can disable the setting to return to the previous ribbon. To learn more, refer to the Report Ribbon on the web documentation. Live Visual Sharing in Outlook on the web (Preview) For years, sharing data through email has been stagnant. You could send a screenshot, but it immediately became stale. You could attach a report link, but recipients had to leave their workflow to find the context they needed. And every follow-up question often meant another screenshot, another export, or another email thread. Now, we're bringing a new way to share Power BI insights directly in the flow of work with Live Visual Sharing in Outlook. With Live Visual Sharing, you can insert a Power BI visual into Outlook on the web and share it as a live, interactive experience. Recipients can view and interact with the visual directly in Outlook while staying connected to the latest underlying data. When a live visual is shared, Outlook renders an interactive version of the Power BI visual. Rather than embedding a static image, the experience remains connected to the source report and retrieves current data when viewed. Recipients can: Interact with the visual directly in Outlook on the web. Access tooltips and explore data points. See filters and slicers applied at the time of sharing. View refresh information and data context. Navigate back to the source report when deeper analysis is needed. The result is a richer conversation around data, directly within Outlook. Sharing a live visual is simple: Open a Power BI report in the service. Select a visual to share, then select More options in the upper-right corner. Select Share. Select Link to this visual. A pop-up will appear asking if you want to use the current view (apply existing filters and slicers) or not. After selecting Create Link, the link is copied to your clipboard. Open Outlook on the web. This experience is not available in the Outlook desktop app. Create a new email. Paste the link in the email. The visual renders in loop after a few seconds! You can also share the same link in a Loop page, and the visual will also be rendered. By combining Power BI, Outlook, and Loop-powered experiences, we're bringing data closer to where collaboration happens. Live Visual Sharing can support more informed, data-driven conversations in Outlook. To learn more about Live Visual Sharing in Outlook, refer to the Share live Power BI visuals documentation. More control and context in Power BI Home (Generally Available) Power BI Home now provides additional context and personalization options to help users discover the right content more efficiently. With new freshness indicators and customizable list views, you can quickly identify the most relevant reports and semantic models, prioritize the metadata that matters most, and tailor the experience to fit your workflow. Find the right content more easily Discover the right content more easily with new Data Refreshed and Modified Date columns in Power BI Home. By bringing the freshness signals already familiar from workspace list views into Home, users can more easily spot recently updated reports and semantic models, distinguish between similar items, and quickly find the content that matters most. Whether you're checking for the latest business updates or deciding which refreshed report to open, you can navigate with greater confidence and less guesswork. Customize your Home list view Not every user, team, or organization relies on the same signals to discover content. With Column Options, you can show or hide metadata, drag and reorder columns to prioritize the information you use most, and reset to the default view at any time. Whether you rely on freshness signals, endorsements, sensitivity labels, or location information, you can tailor Home to match your workflow. To learn more, refer to the Power BI Home documentation. Set and reset column widths in table and matrix (Generally Available) You can now right-click a column header in a table or matrix and select Set column width to specify its width in pixels. This option helps report viewers improve readability and fit the information they need within the available space, without changing the report author’s design or affecting other viewers. Changes made by viewers last only for the current viewing session. To restore the width defined by the report author, right-click the column header and select Reset column width. To learn more, refer to the Adjust column width in Power BI tables documentation. Visual calculations for small multiples (Generally Available) You can now use visual calculations in visuals with small multiples. Create calculations such as moving averages and compare trends across categories without adding separate measures to the semantic model. In the visual matrix, the field in the small multiples field well appears on the ROWPAGES axis. You can select ROWPAGES by itself or combine them with ROWS and COLUMNS to control how the calculation moves through the visual. e: Create a moving average visual calculation for a line chart divided into small multiples by country. To learn more, refer to the Visual calculations overview documentation. Design ribbon for Power BI reports (Generally Available) The new Design ribbon brings report styling tools together in one location. Apply a built-in or organizational theme, open the Theme pane to customize report-wide defaults, or import and download theme files directly from the ribbon. You can also quickly open Page size, Page background, and Wallpaper settings for the current page. Two new built-in themes, Dark and Soft dark, use the new Versa color palette and styling that closely follows the Fluent 2 base theme. These themes let you design against a dark report canvas and return to the default light theme before publishing if needed. To learn more, refer to the Use the Design ribbon in Power BI documentation. Slider color options for Slicer visual (Generally Available) Match your slicer's slider to your report design. The Slicer visual's Between, Before, After, and Date picker settings include a Slider format section where you can turn the slider on or off, set the handle style, and choose colors for the handles, selected range, and track. Handle options adjust based on the Responsive layout toggle (General > Properties > Advanced options). When Responsive is on, handles appear as circles with Fill color, Border, and Size. When Responsive is off, handles appear as rectangular bars with Border, Width, and Height. To learn more, refer to the Slicer visual in Power BI documentation. Translytical task flows show user date function (UDF) information in button action (Generally Available) The formatting pane now displays the Workspace, Function set, and Data function assigned to a data function button. These read-only details help you confirm that the button references the intended function without reopening the OneLake catalog. This information is especially useful when you review or troubleshoot reports that use several functions or connect to functions across multiple workspaces. To learn how to configure data function buttons, refer to Create a data function button in Power BI. Format pane headers stay visible as you scroll (Generally Available) Expanded section headers now remain visible at the top of the Format visual pane as you scroll through their settings. This update helps you keep track of the section you’re editing, especially when a section contains many formatting options. For example, when you scroll through color settings, the Colors and Data colors headers remain visible for context. To learn more about formatting visuals, refer to Get started formatting report visualizations. Pick the axis initial scroll position (Generally Available) Categorical axes—like month, year, or product name—show a scrollbar when there are more categories than fit in the visual. Until now, the scrollbar always started at the beginning of the data, so the oldest values displayed first. This month, you can set Initial scroll position to End on the axis Layout section, and the visual loads with the most recent data in view. Users can still scroll back to see earlier history. The option is available on stacked, clustered, and 100% stacked bar and column charts; line, area, stacked area, and 100% stacked area charts; line and stacked column and line and clustered column charts; ribbon, waterfall, and scatter charts with a categorical X-axis. Initial scroll positionset toEndon the X-axis. The scrollbar is positioned on the right, showing the most recent months first. To learn more, refer to the Customize x-axis and y-axis properties documentation. Azure Maps geocoding improvements (Generally Available) Large reference layers now render correctly when you filter your report. Reference layers add geographic context using points, lines, and polygons, such as locations, routes, postal codes, sales territories, and administrative regions. The Azure Maps visual renders up to 30,000 reference-layer features at a time. Previously, when a reference layer exceeded this limit, features excluded from the initial view could remain missing even after a report filter narrowed the data to a smaller area. . . . Now, Azure Maps re-evaluates the reference-layer features whenever report filters are applied. The unfiltered view is still limited to 30,000 features, but a filtered view accurately displays the relevant features, up to that limit. On-object interaction improvements (Preview) Based on your feedback during preview, we're introducing the first in a series of on-object interaction improvements, designed to make quick edits to your visuals easier. This month we're refining how you add data and manage some visual elements. The Build flyout now opens only when you select Add data, helping you stay focused when dragging and dropping data directly onto a visual or into the Build pane. We’ve also separated Title and Subtitle in the Add to your visual flyout, so you can manage them independently. In addition, title and subtitle are now turned off by default for matrix, table, and card visuals in reports that use the latest base theme. New reports automatically use the latest base theme. For existing reports, select Update theme in the Theme pane to apply this change. You can turn either element back on when needed. to your visual menu. To learn more, refer to the using on-object interaction with visuals and updating to the latest base theme documentation. Support for Fabric Apps in Org apps (Coming Soon) Soon, users will be able to include generative Fabric Apps alongside the reports, dashboards, notebooks, and other content in your Org Apps. For example, imagine you want people to rate the content in an Org App and share feedback about what would make it more useful. You can create a Fabric App for that experience and add it directly to the Org App. Whether you’re helping people explore what could happen next, act on an insight, or complete a specialized workflow, Fabric Apps give you a flexible new way to build for your audience without sending them somewhere else. Together, organizational apps and Fabric Apps provide a way to bring enterprise reporting, content, and tailored experiences together for your organization. Learn more about org apps and item types supported, including Fabric Apps. Changes to Power BI subscription email delivery Power BI is updating the platform used to deliver subscription emails as part of ongoing improvements to delivery reliability and long-term service health. As eligible subscriptions move to the updated platform, customers may notice changes to the sender identity and email formatting. Each subscription transfers automatically when it moves. Customers do not need to recreate it or change its schedule or recipients. After selecting Subscribe for an item, an information icon identifies a subscription that has moved to the updated email delivery platform. Learn more about changes to Power BI subscription emails. Increased Export to Excel row limits (Coming Soon) Many users export Power BI data to Excel for further analysis. This month, we're increasing the maximum number of rows that can be exported from table visuals using Data with current layout from 150,000 to 500,000. This increase helps you analyze larger datasets in Excel with fewer export operations. s. To learn more about exporting data from Power BI visuals, refer to Export data from a Power BI visualization. Value selection in Narrative visual We are replacing the Q&A natural language experience for creating dynamic values in the Narrative visual and text box with a more deterministic UI. This is due to the ongoing deprecation of the Q&A tool, and also based on feedback that it was hard to deterministically pick exact values through the Q&A experience. Authors can now create and edit custom values through a direct, deterministic UI: select a column or measure, apply any valid summarization, and add any type of filter. Auto-generated values are unchanged, and values previously authored with Q&A remain available as read-only. To learn more, refer to the Create Smart Narrative documentation. Modeling Create and edit DirectQuery semantic models in the Power BI service DirectQuery semantic models can now be created and edited directly in the Power BI service, eliminating the need to download and use Power BI Desktop. Previously, building models that query data sources in real time meant downloading Desktop, authoring the model, and publishing it to the web. Now, web-based modeling gives your team the freedom to: Work from any device: Mac, Linux and Windows users can now author DirectQuery models straight from the browser. Collaborate in real time: Multiple team members can work on the same semantic model simultaneously. Ditch the desktop loop: Skip the download-edit-republish cycle and update your models instantly in the service. Capabilities on the web Start from scratch: Connect to a supported data source and choose DirectQuery mode. Figure: Power Query interface displaying data source connection settings, with DirectQuery selected as the data connectivity mode. Full modeling control: Open existing DirectQuery models to manage relationships, write DAX and tweak table/column properties. : Model View in Power BI Service showing tables, relationships, and the properties panel for editing a DirectQuery semantic model. Flexible storage modes: Easily switch table storage modes from DirectQuery to Import or Dual if needed. : Properties pane that allows user to switch table storage modes from DirectQuery to Import or Dual. Thanks to this new capability, composite models are also available on the web! Head to the Power BI service and open one of your DirectQuery semantic models or create a brand-new one. We'd love to hear what you think! Learn more in the DirectQuery documentation. Approximate Distinct Count comes to Import and Direct Lake (Preview) Distinct count is one of the most resource-intensive operations in any analytical engine. As data cardinality grows, so do CPU and memory usage, often slowing down your interactive reports. APPROXIMATEDISTINCTCOUNT already offered a faster alternative for DirectQuery sources such as Azure SQL, Synapse, BigQuery, Databricks, and Snowflake. This month we're extending support to Import, Direct Lake on OneLake, and Direct Lake on SQL semantic models. DAX = APPROXIMATEDISTINCTCOUNT(<columnName>) : Model View in Power BI Service showing tables, relationships, and the properties panel for editing a DirectQuery semantic model. How it works and when to use it Instead of scanning every single unique value, APPROXIMATEDISTINCTCOUNT calculates a highly accurate estimate of unique values with a standard error rate of ~1.6%. In return, you get faster query execution times. Best for high-cardinality columns: Use it on columns with millions of unique values (such as transaction IDs, user IDs, or timestamps) where an approximate result can reduce the resources required to calculate distinct values. Keep standard DISTINCTCOUNT for low-cardinality data: Stick to exact counts for smaller attributes like Country, Category, or Status, where standard calculation is already fast, or for financial metrics where absolute precision is required. Swap APPROXIMATEDISTINCTCOUNT into your heaviest measures today and let us know how much speed you gain on your models! Learn more in the APPROXIMATEDISTINCTCOUNT documentation. Accelerate text searches in your semantic models with String Indexing (Preview) String Indexing for Power BI semantic models is coming soon! If your reports rely heavily on text fields, such as product names, customer comments, or long descriptions, you’ve likely faced slow performance when users search or filter on large semantic models. String Indexing is designed to improve text-search performance in supported semantic models. Why String Indexing? Common text operations like DAX functions (SEARCH(), CONTAINSSTRING()) and advanced text slicers in reports traditionally scan data row-by-row. As datasets grow, these scans slow down query times. String Indexing builds specialized indexes so the engine can locate matching text more efficiently, which can improve report responsiveness for both Import and Direct Lake semantic models. Indexing modes You can configure String Indexing via model metadata to fit your workload needs: Auto Mode: Automatically builds the index on the first query execution for a qualifying column. The index does not persist in storage; it remains in memory only while the column is loaded and will be rebuilt on subsequent queries if evicted. Ideal for smaller models. Full Mode: Builds and persists the index during scheduled data refreshes. While refresh times and model size may slightly increase, users enjoy consistently fast query performance right out of the box. Get started String Indexing requires a semantic model running at 1707 compatibility level. During this initial preview phase, indexing can be configured through TMDL on the web or XMLA metadata. Desktop support and a dedicated UI experience within Power BI are planned for a future release to simplify setup. Check out the String Indexing documentation for setting up instructions, prerequisites, and guidance on choosing the right indexing mode for your models. We look forward to seeing how this feature helps make text-heavy reporting experiences faster and more responsive! Introducing Full-Text Search in Power BI Semantic Models (Preview) Full-Text Indexing for Power BI semantic models is coming soon! While traditional string searches look for exact character matches, Full-Text Indexing enables a more intelligent search experience based on the meaning of words and natural language concepts. This capability powers two new DAX functions, TEXTCONTAINS() and TEXTSIMILARITY(), making it easier than ever to analyze large volumes of textual data directly in your semantic models. Why Full-Text Indexing? Business data increasingly contains rich text content such as customer feedback, support tickets, product descriptions, incident summaries, and knowledge articles. Searching this data using traditional string matching often requires exact matches and can miss relevant results due to differences in spelling, word forms, or phrasing. Full-Text Indexing builds a specialized search index at the column level, allowing semantic models to understand words rather than just character sequences. This enables advanced search experiences such as: Finding related words through linguistic analysis (for example, run, running, and runs) Matching singular and plural variations automatically Ignoring common stop words such as "the" or "and" Supporting phrase-based searches Tolerating minor spelling mistakes through fuzzy matching Enabling semantic similarity search scenarios Getting Started FTS Indexing requires a semantic model running at 1708 compatibility level. During this initial preview phase, indexing can be configured through TMDL on the web or XMLA metadata. Desktop support and a dedicated UI experience within Power BI are planned for a future release to simplify setup. New DAX functions Full-Text Indexing is required for two new DAX functions: TEXTCONTAINS() Returns TRUE when a text value matches a search expression using full-text search semantics rather than simple substring matching. It supports multiple search modes, including keyword matching, phrase matching, and fuzzy matching for typo tolerance TextContains(<WithinTextColumn>, <SearchText>, [MatchMode]) Example: "Show me all reviews that mention spa." The review either matches or it doesn't. TEXTSIMILARITY() Returns a relevance score indicating how well the text in <WithinTextColumn> matches <SearchText>. It enables similarity-based text comparisons, helping identify records that are semantically related even when they do not contain the exact same words. TextSimilarity(<WithinTextColumn>, <SearchText> [, <MatchMode>]) Example: "Show me the 10 reviews most relevant to 'good breakfast'." Reviews mentioning both terms prominently rank higher than reviews that only partially match. Learn more about these two new DAX functions (TEXTCONTAINS, TEXTSIMILARITY) in our documentation. Full-Text Indexing is supported for both Import and Direct Lake models, with Full mode recommended (during Preview) for the best out-of-the-box performance and user experience. Refer to the Full Text Indexing documentation to learn more about prerequisites, configuration options, and setup instructions. Data connectivity New Power Query editor (Preview) Since May of this year, the modern Get Data experience has been available in preview inside Power BI Desktop; the feedback we've gathered from that rollout has directly shaped what comes next. Your reports of friction points, missing capabilities, and rough edges between the legacy and modern interfaces went straight into the backlog, and this month that work pays off: the full modern Power Query Editor experience moves into preview. It's the same trusted engine, wrapped in a completely refreshed editing surface — and we're still closing the remaining gaps with the legacy UI as we go. Let's explore six key reasons to enable and try this feature. Modern Get Data - The same connector browsing and search experience you already know from Fabric Dataflow Gen2 — now in Desktop. Searchable, categorized, and designed to make connectors easier to find and navigate than the legacy dialog. Try it: Connect to a new data source and browse the OneLake catalog. To learn more, refer to the Data sources in Power BI Desktop documentation. Dark theme, end to end - No more jarring light-mode panes breaking your flow. The legacy editor only partially supported dark theme. The modern editor applies it consistently across the preview grid, dialogs, and other parts of the editing surface. Folding visibility - Stop guessing whether your query folds. Step folding indicators mark each step as folding or not, and the new query plan shows exactly how the engine intends to evaluate your query — and where folding breaks down. Try it: Open the query plan on a query with several steps and find where folding stops. To learn more, refer to the Understanding Query Evaluation and Query Folding in Power Query documentation. Diagram view - See how your queries relate to each other visually, instead of reverse-engineering it from names. A gamechanger for files you've inherited or models with long reference/merge chains. Try it: Open a file with referenced queries and trace a merge visually. To learn more, refer to the Diagram view documentation. New capabilities, now on Desktop - Features that used to live only on the web are now here: rank column, cluster values, schema view, query script view, plus upgrades to transforms you already use daily. Try it: Add a rank column or cluster values on a messy text column. To learn more, refer to the Rank column and Use Schema View documentation. Export a Power Query template - Capture your solution at a point in time and take it with you. Export a template from Desktop and import it straight into a Dataflow Gen2 — queries, steps, and structure intact. Try it: Export a template from a multi-query file and import it into a Dataflow Gen2 to compare. Figure: Screenshot of the Export template experience in the Power Query editor. To learn more, refer to the Power Query template documentation. Ready to try it? Enabling the modern Power Query experience takes just a few seconds — no restart required: Open Power BI Desktop. Locate: File > Options and settings > Options. Under Preview features, check New Power Query experience. Open (or reopen) the Power Query Editor — you're now in the modern experience. Once you've had a chance to explore this new user interface and its experiences, we want to hear from you. Share your thoughts on the new Power Query experience in the Fabric Community — what's working, what's missing, and what would make it a compelling alternative from the legacy editor. Every comment helps shape what ships next. Microsoft Outlook Mail connector (Preview) We're introducing the new Microsoft Outlook Mail connector (Preview) for Power BI Desktop. Built on the Microsoft Graph API, it lets you read your mailbox data — folders, messages, and attachments — using an organizational account. This is the first in a set of new connectors we'll be releasing as a modern alternative to the Exchange Online connector. The initial preview is scoped to Mail in Power BI Desktop. Additional connectors for Calendar Events, Contacts, and Tasks are on the roadmap, along with Excel and Power BI service / Fabric Dataflows Gen2 support. Scheduled refresh isn't supported yet — this applies to both the Power BI service and refreshes routed through the on-premises data gateway. To try it, enable the Microsoft Outlook Mail preview feature under Options in Power BI Desktop, then open Get Data → Online Services → Microsoft Outlook Mail and sign in with your organizational account. To learn more, refer to the Microsoft Outlook Mail connector documentation. More flexible Data Privacy Firewall query patterns in Power BI Desktop (Preview) Power BI Desktop now allows Data Privacy Firewall partitions that reference other partitions also access data sources when the privacy levels of the involved data sources are compatible. Introduced in the July 2026 release and enabled by default, this preview setting aligns Power BI Desktop with Power Query Online, gateways, and the Power BI service. This change supports common query patterns in which one query returns a value that another query uses to build a web request, SQL statement, file path, or other data source request. These patterns can now run without refactoring queries or duplicating logic solely to satisfy the previous partition restriction. The Data Privacy Firewall remains active. Power Query continues to evaluate the privacy levels of the involved data sources before combining data, helping authors use more flexible query designs while preserving privacy protections. To learn more, refer to the Allow data privacy firewall partitions that reference other partitions to also access data sources documentation. Mobile Mobile page indicator (Generally Available) Know immediately which report pages are mobile-ready, without clicking through them. Each page that has a mobile layout shows an icon on its page tab in the footer, so you can spot your mobile coverage instantly. Pages without a mobile layout stay unmarked, making it easy to see what's left to optimize. The icon is coming soon to both Power BI Desktop and the Power BI service. In Power BI Desktop, it appears in both desktop layout view and mobile layout view, so you can track mobile coverage right where you work. In the Power BI service, it appears in mobile layout view. Page tabs marked with an icon to show which pages have a mobile layout. To learn how to build mobile-optimized reports, refer to the Mobile-optimized Power BI reports overview documentation. Contact details in Info drawer (Generally Available) We’re making it easier to connect with the right people from the Power BI Mobile app. You can now find contact details in the Info drawer for reports, apps, and dashboards, and email the relevant contact directly from your phone. To learn more about Power BI in mobile, refer to the What Are the Power BI Mobile Apps? documentation. Developers and APIs Power BI Projects (PBIP) (Generally Available) Since entering preview in 2023, PBIP has changed how developers build and manage Power BI content. It stores report and semantic model definitions as human-readable text files, turning a Power BI solution into a codebase. Developers can search these files, track changes in Git, review diffs in pull requests, automate updates with scripts and pipelines, and use AI agents to work with models and reports. Changes remain visible and reversible, which makes team development easier and safer. Recent improvements have made the workflow more practical. These include opening a project directly in Visual Studio Code and detecting external file changes in Power BI Desktop. New underlying formats capabilities: Tabular Model Definition Language (TMDL) for semantic models. Power BI Enhanced Report Format (PBIR) for reports. PBIR is now the default report format for PBIX and PBIP files. New reports use it from the start. When you edit a report that uses the legacy format, Power BI tools automatically convert it to PBIR. To learn more, refer to the Power BI Projects documentation. New Purge Data option for Fabric APIs The new Purge Data option for Fabric APIs gives developers and administrators greater control over programmatic semantic model deployments. This capability allows users to explicitly approve deployments that may require removing existing data, helping unblock scenarios such as schema or data type changes that previously failed validation checks. Designed with both safety and automation in mind, purgeData keeps data protection safeguards enabled by default while giving developers the flexibility they need to manage complex deployment scenarios at scale. To learn more, refer to the Purge Data documentation. Other Data updated and sensitivity fields of Power BI report in Microsoft Teams preview card (Coming Soon) Power BI report previews in Microsoft Teams will soon surface the report's last refresh date and sensitivity label. These additional signals will help users quickly assess the freshness, relevance, and classification of a report before opening it. To learn how Power BI content is displayed in Microsoft Teams, refer to the Link preview cards in Microsoft Teams chats and channels documentation. Artifact info header for Power BI tabs in Microsoft Teams (Generally Available) Power BI content in Microsoft Teams tabs now includes the artifact info header, giving users the context they need without leaving their flow of work. Available for reports, apps, organizational apps, dashboards, and scorecards, the header brings key artifact information and actions together in one place. The new header displays the artifact name and sensitivity label and provides an entry point to artifact metadata. You can open the artifact in the Power BI personal app in Teams, open it in a browser, and refresh the tab. Tab owners can control their experience with the new Show info header setting on the tab settings page. The setting is 'on’ by default and can be turned off when a more compact tab experience is preferred. To learn how to add Power BI content as a tab in Microsoft Teams, refer to the Embed Power BI reports in Microsoft Teams documentation. Third-party custom visuals graphomate matrix The graphomate chartrix is a brand-new charting visual, and it offers various improvements over graphomate charts. First and probably most obvious is the new interactive user interface which enables users to define most elements of the chart layout directly on the visual. To keep this interface effective and uncluttered it focuses on the most important parameters of your chart. Users can now create combination charts which were simply not possible before. There are also new chart types like the variance waterfall, which automatically renders from one measure and two dimensions. Of course, the graphomate chartrix is IBCS® certified. With the latest release an XFL editor has been introduced, which helps you write scripts to format the chartrix far beyond the possibilities of the regular option set. XFL scripts also provide a way to conditionally format the visualization, dynamically changing properties in relation to the actual data. This new visual is provided free of charge to existing customers of the graphomate charts. All development efforts will be focused on making the graphomate chartrix the best IBCS® charting visual there is. Video Link: graphomate chartrix for Microsoft Power BI AppSource Link: graphomate chartrix Sample Report Link Drill Down Bubble PRO by ZoomCharts Drill Down Bubble PRO is a Power BI visual designed for exploring relationships, trends, and outliers across multiple dimensions of data. It adds richer exploration, selection, and analytical capabilities directly inside the visual. Key features include: Multi-level drill down to explore data hierarchies from a high-level overview to detailed insights. Pan and zoom controls to navigate dense datasets and focus on specific clusters or individual data points. Area and lasso selection to quickly isolate groups of bubbles and use selections for interactive analysis and filtering. Dynamic regression lines that recalculate as the displayed data changes, making trends and relationships easier to identify. Line and area thresholds to highlight targets, ranges, exceptions, or other important business benchmarks. Area shading to visually group and compare selected segments of data. 200+ formatting settings to tailor the chart to different reporting and branding needs. Figure: Drill Down Bubble PRO demonstrates multi-level drill down, panning, and zoom controls for exploring data from high-level patterns to detailed points. These capabilities make Drill Down Bubble PRO especially useful for customer segmentation, sales analysis, portfolio analysis, performance monitoring, and other scenarios where users need to actively explore patterns rather than simply display them. Get on Markeplace Commenting in view mode: introducing Zebra BI Tables+ & Charts+ It's month-end. A regional manager opens the report, spots a variance in their region, and knows exactly why it happened. But the report isn't theirs to edit, so the explanation ends up where it always does: a screenshot pasted into PowerPoint, emailed around, detached from the number that prompted it. That's the collaboration gap. Your report shows what happened; the why and the what next leave the report and get lost. Meet Zebra BI Tables+ and Charts+: two new visuals that keep everything existing Zebra BI Tables and Charts offer and add a built-in collaboration layer. Report viewers can add comments directly on a data point, in view mode, with no Power BI edit access. Each comment is anchored to the exact figure and stored in your own SharePoint file. Zebra BI stores nothing. ting files from SharePoint, and collaborate directly in view mode. So instead of screenshotting insights into PowerPoint or maintaining a custom workaround, the whole team explains and decides right on the report. Instead of slides or emails, the next steps can be defined directly on the spot. Stop losing good decisions to a missing context. Start making them on the report. Try Zebra BI Tables+ and Charts+ free for 14 days on AppSource. Network Graph by Powerviz The Powerviz Network Graph is a visual representation of Nodes and the relationships or connections between them. Its primary purpose is to illustrate how different entities are related or interact with one another. Key Features Line Options: Customise node links with different styles and colors. Node Shape: Choose from various shapes, icons, or upload your own. Labels: Display categories, values, and percentage labels. Data Colors: Access 30+ color palettes, including color-blind-safe options. Fill Patterns: Highlight nodes with patterns or upload your own. Conditional Formatting: Highlight outliers based on measures or category rules. Clusters: Group related nodes to reveal patterns. Relationships: Analyze node connections at a glance. Animation: Add pop-ups and highlight effects. Import/Export: Save and reuse themes easily. Toolbars: Gain advanced control over the graph. Other features included are Sorting, Ranking, Lasso / Reverse Lasso, Grid View and more. Business Use Cases Customer Relationship Management (CRM), Supply Chain Optimization, Social Network Analysis (SNA). Resources Try Network Graph visual for FREE from AppSource Check out all features of the visual Step-by-step instructions YouTube Video Learn more about visuals Follow Powerviz on LinkedIn Hierarchical Bar Chart New, exciting changes were made to Hierarchical Bar Chart. Bubble Matrix for stacks - The visual now provides the option to show stacks as bubbles below the bars. lues into bar-and-bubble matrix layouts for clearer comparison of category totals and component contributions. Display Stacks as Clustered Columns - From the format pane settings, you can choose to display stacks as clustered column chart. Filter using legends - You can click on a stack legend to filter out other stacks. On mouse hover relevant stack gets highlighted. Stack ribbons and %age of total - You can now choose to connect stacks with ribbon and show percentage of total for each stack. Resources Check out the Hierarchical Bar Chart Update YouTube video. Download the visual from APPSOURCE Download a sample pbix file For more information refer to Hierarchical Bar Chart or contact us. That’s a wrap! The European Microsoft Fabric + SQL Community Conference is just getting started, and there's never been a more exciting time to be part of the Power BI community. We hope these updates help you discover new capabilities, streamline your workflows, and get even more value from your data. Be sure to explore the links throughout this post for deeper technical guidance and follow along with the latest announcements and sessions from Barcelona.Fabric Data Warehouse integration with Fabric User Data Functions (Preview)
Microsoft Fabric Data Warehouse now integrates with Fabric User Data Functions in preview, so you can extend T-SQL with custom Python logic without building separate applications or pipelines. Use the integration to send email or Teams messages, retrieve parameters and secrets from Fabric variable libraries or Azure Key Vault, and access data across OneLake. These capabilities are now available directly from T-SQL queries in your Warehouse. You can create T-SQL external functions in Fabric Data Warehouse that reference Python functions in a Fabric User Data Functions item. You can then invoke those functions from familiar statements such as SELECT, INSERT, and UPDATE. When an external function is called, Data Warehouse delegates its execution to the Fabric User Data Functions runtime. This integration enables scenarios such as: Calling Fabric or external APIs and sending email, Teams messages, or notifications. Reading Excel, XML, PDF, and other file formats through Python. Accessing data in OneLake and reading from or writing to Fabric databases, Azure Cosmos DB, and warehouses across workspaces. Retrieving secrets and configuration values from Azure Key Vault or Fabric variable libraries to parameterize custom logic. Encrypting, decrypting, or masking sensitive columns with custom Python logic and organization-managed keys. Enriching and validating data by geocoding addresses, verifying VAT or IBAN numbers, or scoring records with a machine learning model. Example: Use Python to classify IPv6 network events from T-SQL Classifying IPv6 events by network prefix can support security analysis, but the required parsing and binary arithmetic are complex in T-SQL. Python provides a purpose-built standard library for this task, allowing warehouses that store network and security telemetry to organize events into consistent network ranges for analysis. In this example, Python’s ipaddress function accepts an IPv6 address and prefix length and returns the corresponding network in CIDR notation. Persisting this value as an analytics column lets downstream queries group events into consistent network ranges without repeating calculation. import ipaddress import fabric.functions as fn udf = fn.UserDataFunctions() @udf.function() def getIpv6Network(address: str, prefixLength: int) -> str: interface = ipaddress.ip_interface(f"{address}/{prefixLength}") return str(interface.network) The published Python function is mapped to a T-SQL external function that accepts an IPv6 address and prefix length and returns the corresponding network prefix in CIDR notation. CREATE FUNCTION ipv6.get_network AS EXTERNAL FUNCTION utilities.getIpv6Network; You can then calculate and persist a /48 network prefix for each event: UPDATE dbo.NetworkEvents SET NetworkPrefix = ipv6.get_network(SourceIp, 48) WHERE NetworkPrefix IS NULL; Each call to ipv6.get_network delegates execution to the Fabric User Data Function runtime. After the result is stored in NetworkPrefix column, downstream queries can use it without recalculating the prefix. Conclusion Fabric User Data Functions let teams continue working in T-SQL while using Python to address scenarios that traditionally require separate applications or pipelines. Explore the preview and start extending your Fabric Data Warehouse solutions with custom logic today. You learn how to use the User Data Functions in Fabric Data Warehouse in the documentation. Try this feature during the preview and share your feedback with the Microsoft Fabric community on Reddit.
TMDL View on the web: Edit semantic models as code in your browser (Preview)
TMDL View on the Web is a feature in Power BI that enables developers to view and edit semantic models as code directly in the browser using TMDL. It expands the Power BI web modelling experience by introducing a rich code editor for working with TMDL scripts—giving pro developers full transparency into the semantic model code and enabling more efficient workflows through code editing.Python For Power BI Developers
As a Power BI developer you write DAX, M but should you learn Python as well? While there are limited use cases for using Python directly in Power BI, in this session Sandeep will show you how you can use Power BI in your development workflow. He will show how you use can use Python for analyzing Power BI datasets, debug DAX, find insights faster, and even for Power BI administration. As lakehouse architecture patterns become common you should strongly consider adding Python to your tool chest. Sandeep will also share resources to learn Python for data analysis. **No prior Python experience is required to attend this session. 𝙋𝙚𝙧𝙨𝙞𝙖𝙣 𝙋𝘽𝙄𝙐𝙂- 𝙈𝙞𝙘𝙧𝙤𝙨𝙤𝙛𝙩 𝘾𝙤𝙢𝙢𝙪𝙣𝙞𝙩𝙮: https://bit.ly/3IAg7xT 𝙇𝙞𝙣𝙠𝙚𝙙𝙄𝙣: https://bit.ly/32tGkif 𝙏𝙚𝙡𝙚𝙜𝙧𝙖𝙢 𝘾𝙝𝙖𝙣𝙣𝙚𝙡: https://t.me/PersianPBIUG 𝙔𝙤𝙪𝙏𝙪𝙗𝙚: https://bit.ly/3hk20RL Language: EnglishPower BI June 2026 Feature Summary
This month, we’re continuing to focus on making every day work a little easier—whether that’s building reports, modeling data, or just getting answers faster. You’ll see progress across Copilot and newer AI-driven experiences, along with a set of practical updates to reporting that help reduce repetitive work.
Power Automate Visual GA - Embed Workflows Directly Within Your Power BI Reports
July 24, 2024 Update - The new version of the Power Automate Visual for GA will be available within Power BI Desktop starting August 2024! June 3rd, 2024 Update - Our rollout hit a snag due to a critical bug, leading us to pause the initial roll out of GA. However, we’re committed to resolving this issue, and the new version of the visual will be available to GA by the end of June. We are thrilled to announce that the Power Automate visual in Power BI has now reached General Availability (GA)! This is a significant milestone for Power Automate and Power BI users, as it enables them to streamline their workflow and gain valuable insights from their data in a more efficient way. The Power Automate visual is a game-changer for end-users, as it allows them to seamlessly run automated flows directly within their Power BI reports. With the Power Automate visual, users can trigger flows by simply clicking a button right within their report, without the need to switch between tools. What's more, the executed flow can be contextual, adapting dynamically based on the filters set by the end-user. This makes it a powerful tool for context-aware automation, allowing users to customize the flow to respond to specific data conditions. This has been a popular feature and we have made some improvements based on your feedback, including the ability to easily change environments while building flows and new templates to kickstart your workflow creation journey directly from Power BI. Get Started To get started with the Power Automate visual, simply select the Power Automate icon from the Visualizations pane or add the visual from the ribbon. Once added, the visual appears on your current report page, you can easily change your environment from the visual. To configure the button, select More options (...) > Edit. From edit mode, you can create a flow from scratch or a template, and easily manage your flows. Once you create the flow, you can add it to your dashboard and run it directly from there. Explore more about the Power Automate visual, including its limitations and known issues, by clicking here. Additionally, begin your journey to create a Power BI visual by watching an instructive video from our documentation that covers the basics. Availability: This feature is now available in both Power BI Desktop and the Power BI Service. However, it is currently not available in the sovereign cloud, but it will be coming soon. Feedback: We’d love to hear your thoughts about this feature. Click here to share you feedback with us.Power BI November 2025 Feature Summary
The November 2025 Power BI feature update brings several important announcements and enhancements across the platform. Key highlights include the deprecation of R and Python visuals in the Embed for your customers solution, significant updates to Copilot and AI capabilities—such as the standalone Copilot in Power BI mobile apps (Preview) and improvements to Verified Answers—and new options for reporting, modeling, and data connectivity. Users will also notice advancements in visualizations, with features like automatically expanding matrix columns and a generally available Card visual, as well as expanded support for Spark and Impala connectors and enhancements to image visuals and the OneLake Catalog. This summary provides an overview of these impactful changes to help you leverage the latest innovations in Power BI. Contents Events and Announcements Fabric Data Days is on now! FabCon is back from March 16-20, 2026, in Atlanta, GA Copilot and AI Ask anything, anywhere with Standalone Copilot in Power BI mobile apps (Preview) Updates to the standalone Copilot in Power BI Improvements to Verified Answers Remote Power BI Model Context Protocol Server for chat with your Data (Preview) Reporting Automatically expand matrix columns to fill available space Card visual (Generally Available) Enhancing Image visuals with styling, states, and more OneLake Catalog now supports user data functions for Translytical task flows (Preview) App Copilot (Preview) Modeling Power BI Modeling MCP Server (Preview) Semantic Model Version History (Generally Available) TMDL Visual Studio Code Extension (Generally Available) Data connectivity Spark and Impala Connectors (Generally Available) Visualizations Activity Gauge by Powerviz Decomposition Tree – All Expanding Dynamic chart legends in Zebra BI Charts Drill Down Bubble PRO by ZoomCharts Power BI Theme Generator Power Gantt Chart by Nova Silva Turn any image into data insights with Synoptic Panel by OKVIZ Announcing deprecation of R and Python visuals in Embed for your customers solution https://youtu.be/pRFeQWzUhn0 Events and Announcements Fabric Data Days is on now! Take your Power BI skills to the next level with live learning sessions, QuickViz challenges, discount vouchers for exam PL-300 and DP-600, and community connection. See what’s happening this week. FabCon is back from March 16-20, 2026, in Atlanta, GA Join us for the ultimate Power BI, Microsoft Fabric SQL, Real-Time Intelligence, AI, and Databases community-led event. The third annual FabCon Americas will feature sessions from your favorite Microsoft and community speakers, keynotes, more opportunities to Ask the Experts for 1:1 support, an engaging community lounge with opportunities to network and connect with your peers, a dedicated partner pre-day, a packed expo hall, Power Hour, Data Viz World Championship, and a can’t-miss attendee party at the Georgia Aquarium. Register with code FABCOMM to save $200. Copilot and AI Ask anything, anywhere with Standalone Copilot in Power BI mobile apps (Preview) In the coming app release, we are enabling a new standalone Copilot experience straight from your mobile homepage. A complete chat experience that allows you to ask any question about your data and get instance insights from Copilot, anytime, anywhere. This experience will be available in the app stores in the upcoming weeks. To start chatting with your data, use the new Copilot button on your home page. This will open a chat experience where you can type or dictate (IOS only) your question and Copilot will take it from there. When you ask about a metric or a KPI, most chances that Copilot will generate a visual for you in addition to answering your question with text. Tap on the visual to open a pane and interact with the generated visual. Tap on the citation or reference to learn what content Copilot used for grounding its answer. You can also open the report from there as well. If you want to share insight discovered in the chat with others, select the ‘Share’ button from the visual pane, or the copy from the chat. The iOS apps (iPhone and iPad) also support dictation – so you can use voice interaction to ask Copilot questions. Use the mic icon in the chat box and Copilot will start listening, waiting for your questions. With this new standalone Copilot experience, you can now easily get quick answers and stay on top of things by chatting with your data directly from your mobile. Updates to the standalone Copilot in Power BI The standalone Copilot in Power BI, also known as ‘chat with your data’, is now even easier to use. Previously, Copilot asked users to choose from a list of possible data sources before answering questions. Now, it handles that step automatically: if it finds a strong match, it selects it in the background and goes straight to the answer. When more context is needed, Copilot will ask simple clarifying questions to find the right source. Although the additional reasoning may require a few more seconds, obtaining an accurate response from a reliable source justifies the brief wait. Additionally, in response to search questions like ‘Find reports about sales’, you’ll now see a much simpler text-based list of items. New entry points right from the home page By late November, you’ll be able to access Copilot right on your home page, making it easier than ever to find what you’re looking for or ask ad hoc questions about your data! Simply type your question and hit enter. If you preferred the old home page, no problem. Switch back using the layout drop-down. New suggested prompts for recently opened items - Copilot now offers helpful prompt suggestions related to recently opened items to help users get started. Improved experience attaching items to your question - Want to add a report, or other items, to your question? Items are now sorted by recency and easily filtered by item type in a slick new design that aligns with other Copilot experiences across Microsoft. Experiment with all the new updates and let us know what you think! Improvements to the Report Copilot We’ve upgraded the Report Copilot experience in Power BI, making it easier than ever to create, edit, and refine beautiful, data-rich reports with the help of AI. With this update, Copilot in Power BI not only helps you create entire report pages in seconds but now also gives you more control, flexibility, and visual intelligence than ever before. The new Report Copilot experience is available now in the Power BI service and Power BI Desktop. Smarter, More Capable Visual Creation The new Copilot understands your data and intent more deeply than ever. Just tell it what you want to create, and watch your ideas come to life instantly. Better visual recommendations: Copilot now selects the most appropriate visuals for your data automatically. Expanded Visual Library: Copilot supports a wider range of visuals, giving you more options to present insights into exactly how you envision them. Improved context awareness: When you describe what you want to see, Copilot now understands more nuanced instructions, producing more accurate and insightful results. To learn more about creating and modifying reports with Copilot, refer to the Create reports in the Power BI service with Copilot documentation. Improvements to Verified Answers This update enhances how verified answers inherit the state of your visual, expands filtering flexibility, and delivers more reliable results. What’s New? Verified answers now inherit and reflect the entire visual state: Previously, verified answers only captured filter states active at the time of creation. With this update, they now inherit the entire visual state, including slicers. This change directly addresses one of the most common pieces of feedback we received. Report slicers impacting the visual are being inherited and shown in the verified answer. In addition to slicers, we will support additional visual states: Slicer selections Field parameter choices Cross filters and cross highlights Drill-through filters Expanded Filtering Capabilities for Authors: There is now more flexibility when configuring verified answers. The limit for predefined filter permutations has increased from 3 to 10, enabling more complex and nuanced configurations. From a consumption perspective, we see that most prompt requests naturally use between one and three filters. ‘Show total sales for the region 1 in Q1’. ‘What is the usage of Product 1 in Country 1 during Month 1’. ‘Show average satisfaction scores by City 1 and segment 1’. Still, some business questions require deeper combinations of filters, and this expanded limit ensures verified answers can handle even the most detailed reporting scenarios. Improved Filtering Reliability: What are more filters, if they aren’t applied consistently? We’ve made substantial improvements under the hood to how we match user prompts in Copilot to verified answers and the appropriate filters. Verified Answers now interpret and apply filters more accurately, reducing mismatches between what users ask and what’s displayed, and ensuring filters are included when they should be. New card visual support: We have enabled the highly requested new card visual that you can now set as verified answers, the new card visual and Azure maps will be supported in Verified Answers creation and consumption. Why it Matters: These updates make verified answers feel native to your Copilot consumption experiences, seamlessly adapting to slicers, filters, interactions, and drill-through actions that users have come to expect from their visuals. Consumers will get answers that truly reflect the context of their analysis. The result, faster, more accurate insights, and a smoother path from question to confidence, and better grounding for the rest of your Copilot experience to learn from. For more info on how these updates work, refer to the Prepare Your Data for AI - Verified Answers documentation. Remote Power BI Model Context Protocol Server for chat with your Data (Preview) Available soon, the remote Model Context Protocol (MCP) server for Power BI provides agents and MCP clients with tools to enable you to chat with your data, remotely, all authenticated with Microsoft Entra ID. This means you’ll be able to create powerful, custom agents on top of data that lives in your semantic models. The server has three tools that give your agents the ability to reason over your data, and respond to a user’s prompts: Get Semantic Model Schema: This tool provides the agent with the structure of the semantic model. Generate Query: This tool uses Copilot in Power BI to generate a DAX query based on the user’s input and best practices. The agent can then iterate on this query if it chooses or simply proceeds with the provided query. Execute Query: This tool gives the agent a powerful mechanism to query the semantic model to respond to any question a user asks. These tools can be implemented by any application that hosts an MCP client, such as Visual Studio Code. Other, non-Microsoft MCP clients can be supported with Service Principal authentication, backed by Azure Entra ID. The remote MCP Server for Power BI enables you to easily build the next generation of agents on top of the data your organization has already invested so heavily in. For more information on the remote MCP server for Power BI, for more information, refer to the documentation. Reporting Automatically expand matrix columns to fill available space Last month, tables got the Grow to fit option expanding columns to fill the available space. This month, we are enabling the same option on the matrix visual. As a reminder: with the Grow to fit option, any extra space in the visual is evenly distributed across existing columns when the total column width is smaller than the visual container, which eliminates the need to do manual resizing to fill the gaps. If your matrix isn’t using the full visual width, you can manually resize columns or use the new ‘Grow to fit’ option. For example, this matrix doesn’t fully utilize the available space: Navigate to the format pane under Column headers > Options, toggle Auto-size width to ‘On’, and set ‘Resize behavior’ to ‘Grow to fit’. Instantly, your matrix expands to make full use of the available space. The additional available space will be distributed across the columns: In last month’s release we also had an overenthusiastic horizontal scrollbar when using this option. This has now been corrected. The horizontal scrollbar should not show unless there isn’t enough space to fit the content. Learn more about Grow to fit in the table and matrix documentation. Card visual (Generally Available) The new Card visual brings a modern and visually engaging way to highlight key metrics in your reports, now with full support for hero images and a consistent formatting control experience across visuals for an intuitive experience. Whether you’re highlighting a product, showcasing a team, or featuring a brand logo, the new hero image feature empowers you to create visually rich reports going far beyond simple data points. The Card visual also introduces a dynamic collage layout, letting you highlight one section while the other two share the remaining space. Try adding the new Card visual to your next report and experience the difference for yourself. For more details and step-by-step instructions, check out the official documentation at Create a (new) card visual in Power BI documentation. Enhancing Image visuals with styling, states, and more We’re excited to introduce enhancements to the Image visual, bringing it closer to the level of interactivity and design flexibility you’ve come to expect. Create more engaging experiences by customizing image visuals based on user interaction states such as default, hover, and pressed states of images. Alongside state customization, we’ve added formatting options to give you full control over the look and feel of your image visuals. Such as background, border, and shape. These enhancements make it easier than ever to integrate images seamlessly into your report layout. We’ve also expanded the sources, fit and effects section, with more options for image source, including upload, URL, or from a data field. You no longer need to delete the visual to update its image. With the latest update, you can easily change the image source or swap the image itself, making edits faster and more flexible. We hope these updates to the Image visual inspire you to get creative with your report designs. Whether adding a splash of branding, building intuitive navigation, or simply making your reports more engaging, the new features give you the flexibility to do it all. To learn more about the image visual, visit our documentation: Create an Image Visual in Power BI. OneLake Catalog now supports user data functions for Translytical task flows (Preview) The Fabric user data function selection experience for Translytical task flows has been improved. You can now use the OneLake catalog to discover and select the user data function that you want your action button to invoke. With the OneLake Catalog you can: Browse all available User data functions in one place. Search by keyword for quick access. View details like owner, location and sensitivity label Filter by My Functions or Endorsed in your org for confidence and governance. This new experience is available when selecting the function for Data function actions. Select a button, open the format pane, enable Action, and under Data function select the fx button. Learn more about Translytical task flows in Power BI and how Fabric user data functions can take your report beyond just showing data at Understand translytical task flows. App Copilot (Preview) Your app users now can chat with your curated data within the context of an app. An app-scoped Copilot means users can search for reports within an app, ask questions, and receive answers based on the reports in that app. App Copilot is a separate complement to report-scoped Copilot already available on each report viewed in an app. To learn more, refer to the Power BI app Copilot: AI scoped to the curated content in an app (Preview) blog post. Modeling Power BI Modeling MCP Server (Preview) The Model Context Protocol (MCP) is an open standard that enables AI agents to securely connect with tools and services. The Power BI Modeling MCP Server brings Power BI semantic modeling capabilities to your AI agents through a local MCP server. This allows developers and AI applications to interact with Power BI models in entirely new ways, from using natural language to execute modeling changes to autonomous AI agentic development workflows. Capabilities Build and modify semantic models with natural language: Create or update tables, columns, measures, relationships and much more simply by describing what you need. Perform bulk modeling operations at scale: Rename, refactor, translate, or document hundreds of model objects in seconds. Apply modeling best practices: Easily evaluate and implement modeling best practices. Leverage agentic workflows: Work with Power BI Project files and TMDL code, enabling AI agents to autonomously plan and execute complex modeling tasks. Query and validate DAX expressions: Run DAX queries or validate measures directly through AI-driven workflows. Start by installing the Power BI Modeling MCP Server Visual Studio Code extension to enable Power BI semantic modeling capabilities in GitHub Copilot. Whether you’re using GitHub Copilot or another AI-powered assistant, the Power BI Modeling MCP Server unlocks a new era of intelligent, automated, and high-efficiency semantic model development. For additional information and to provide feedback, refer to Power BI Modeling MCP on GitHub. Semantic Model Version History (Generally Available) With version history, you can confidently make changes to your semantic models—whether you’re editing in the web or live editing Direct Lake semantic models in Desktop—knowing you can restore earlier versions and recover from critical mistakes. Versions are automatically captured in an Office-like history pane for your live edited semantic models, making it easy to select and restore any previous version. Power BI captures up to five versions for each semantic model that supports version history. Versions are saved automatically when you: Open a semantic model in Editing mode on the web or open a Direct Lake model for live editing in Desktop. Publish or upload a .pbix file. Restore a previous version. You can also manually save a version (with an optional description) from the File menu while editing on the web. Learn more about this capability including limitations in the Use semantic model version history (preview) documentation. TMDL Visual Studio Code Extension (Generally Available) This update brings DAX semantic highlighting support within TMDL documents alongside other enhanced authoring features like Power Query semantic highlighting, breadcrumb navigation, code actions, code formatting, localization, and numerous bug fixes. You can find more details about this latest release in the changelog. The TMDL extension is essential for anyone working with TMDL documents in Power BI Projects (PBIP). It brings modern code experiences to semantic modeling, enabling scalable development of semantic models with the efficiency, flexibility, and AI-powered workflows that today’s data teams expect. Get the TMDL Extension from the Visual Studio Marketplace to enhance your semantic modeling-as-code experience and accelerate your semantic model development today! Screenshot of VSCode Marketplace Feature Highlights DAX support: Improved readability of DAX code within TMDL documents including semantic highlighting, real-time diagnostics, and autocomplete. Power Query support: Autocomplete, diagnostics, syntax highlighting, hover and formatting. Localization: Hover descriptions and code action messages are now displayed in the user’s preferred language, aligning with Visual Studio Code language settings. Code actions: Quick fix and refactoring TMDL code such as duplicated lineage tag or misspelled property. Code navigation: Easily navigate TMDL document objects in a hierarchical view. Code format: Automatically organize TMDL code for enhanced readability and consistency. We value your input and encourage you to share it using vscode-tmdl GitHub repository. Data connectivity Spark and Impala Connectors (Generally Available) We’re thrilled to announce that Implementation 2.0 for the Spark and Impala Connectors is now generally available, powered by the open-source Arrow Database Connectivity (ADBC) driver. This update delivers faster, more secure connectivity for Power BI Desktop, making it easier to analyze and visualize large datasets. How does this improve your Power BI experience? Performance boost: Reduced overhead with no serialization or copying. Security improvements: Memory safety and garbage collection aligned with SDL standards. Seamless integration: Works across Fabric experiences and Power BI Desktop for unified data access. Beginning November 2025, specify [Implementation="2.0"] in your connection settings to utilize these improvements: Spark: ApacheSpark.Tables("http://server.cloudapp.azure.com:10001/cliservice", 2, [BatchSize=null, HierarchicalNavigation=true, Implementation="2.0"]) Impala: Impala.Database("server.cloudapp.azure.com", [Implementation="2.0"]) For further details, please refer to the Spark Connector and Impala Connector documentation. Visualizations Activity Gauge by Powerviz The Activity Gauge is an advanced visual used to measure the progress against a set target or Goal for multiple categories. It is typically presented in the form of a radial bar chart/Gauge, displaying a range of values or percentages. This visual is commonly used for project management, performance tracking, and monitoring Key Performance Indicators (KPIs). Key Features: Gauge Customization: Shape, style, and add icons for a unique design. Targets: Choose from options or use a custom field to set a target. Data Colors: Offers 7 schemes and 30+ color palettes. Smart Labels: Add data and leaf labels that auto-adjust inside or outside the shape for better readability. Center Circle: Customize center circle with text, icons, measures, and images. Interactive Mouseover: Hover for Interactive Info Display. Fill Patterns: Highlight gauges with patterns or upload your own. Conditional Formatting – Create rules based on measure or category rules. Other features included are ranking, annotation, grid view, show condition, and accessibility support. Business Use Cases: Project Management: Track task progress for efficient project oversight. Financial Dashboard: Gain instant insights into key financial metrics. Try Activity Gauge for FREE from AppSource Check out all features of the visual: Demo file Step-by-step instructions: Documentation YouTube Video: Video Link Learn more about visuals: https://powerviz.ai/ Follow Powerviz: https://lnkd.in/gN_9Sa6U Decomposition Tree – All Expanding Decomposition tree All Expanding Visual now allows you to add a legend field. This creates additional column chart beside each node showing breakdown from another dimension. This is depicted in image below. The visual below analyzes the revenue of two largest consumer good companies Unilever and P&G by products. We add region field in the legends section to show additional breakdown of Revenue by Region. The data used is fictitious and used for analysis purposes only. The visual also allows you to add images to nodes. Check out the video on Decomposition Tree All Expanding - Power BI custom visual, demonstrating all the features of this custom visual. Download this visual from APPSOURCE Download demo file from APPSOURCE For more information visit https://www.excelnaccess.com/decomposition-tree/ or contact [email protected] Dynamic chart legends in Zebra BI Charts Which version of the plan am I looking at? - Finance teams ask this daily when switching between budgets, forecasts, and plans. Static chart labels in Power BI waste hours every week and lead to confusion, misinterpretation, and reporting errors. The new dynamic chart legends in Zebra BI Charts for Power BI remove that guesswork by automatically adapting chart legends to the selected filter or scenario, so you can always trust what you see. See the full update How it helps - In FP&A, Actuals are often compared against multiple baselines. Waterfall charts are ideal for this, but static legends stay fixed even when scenarios change. Real-world use cases Comparing forecast versions: Before, every scenario looked the same: ‘Plan’. Now, legends show AC 2024 vs Revised Forecast Q3, eliminating ambiguity. Year-over-year analysis: Previously, reports displayed AC [Year] regardless of selection. Now, legends update from AC 2024 vs PY 2023 to AC 2025 vs PY 2024. Regional reporting: Legends now reflect the active region: AC vs EMEA Budget or AC vs Americas Budget, without manual checks. Together with dynamic titles and dynamic column headers, Zebra BI delivers a fully responsive, accurate, and effortless reporting experience in Power BI. Explore Zebra BI for Power BI Drill Down Bubble PRO by ZoomCharts Say hello to the latest visual by ZoomCharts! With Bubble PRO, you can create visually impressive and user-friendly bubble charts that make complex data simple to explore. What sets Bubble PRO apart from other visuals is the user experience. UI interactions are made as intuitive as possible: freely pan the chart, pinch or scroll to zoom in, click on a marker to drill down, and quickly make single or bulk selections. Coupled with smooth UI animations, seamless cross-filtering and full touch support, you can design more interactive and insightful reports. Main features Drill Down: Create a multi-level hierarchy; and click to drill down. Data-driven Formatting: Apply custom marker colors, shapes, or images directly from data. Trendlines: Show a linear or polynomial regression line that dynamically recalculates whenever the chart changes. Thresholds: Display up to 4 reference lines or areas on each axis. Area Shading: Highlight up to 8 custom areas with rectangles or ellipses. We also have other news: you can now sign up to the free Developer License and use Bubble and 20+ other ZoomCharts visuals in Power BI Desktop for a year! Get Bubble PRO on AppSource Power BI Theme Generator In September 2023, our BIBB Report Theme Generator for Power BI was spotlighted on the Power BI blog. Since then, we've rebuilt and expanded it to help teams standardize look-and-feel, meet accessibility baselines, and export production-ready JSON themes in seconds. The generator streamlines brand color, typography, and visual style setup—making it easy for BI teams to deliver consistent, on-brand reports while reducing manual rework. What's new: a smarter color engine with contrast checks, gradients creation, AI powered themes creation, preset brand colors, apply theme through Fabric, select font, live preview on your own report, and advanced BI.ST mode for power users, while keeping the simplicity of one-click JSON export. Common use cases include (1) rolling out or updating corporate brand themes across workspaces, (2) accelerating new report builds with vetted defaults, and (3) improving report readability and accessibility with contrast-safe palettes. Learn more and see all features on our product page below. Links Find the simplest yet most powerful Power BI Theme Generator All features & documentation Power Gantt Chart by Nova Silva We’re thrilled to introduce one of the most requested features in Power Gantt: task dependencies! With our latest release, you can now add Finish-to-Start (FS) dependencies between tasks—visually represented as arrows connecting one task’s finish to another’s start. This powerful enhancement brings true project scheduling capability to Power BI. By visualizing dependencies, teams can better understand task sequences, identify bottlenecks, and manage timelines more effectively. Adding dependencies is simple—just define them in your dataset, and Power Gantt does the rest. Arrows will automatically appear on your Gantt chart, making relationships between tasks clear and actionable. Whether you’re managing product launches, construction schedules, or complex workflows, FS dependencies make your Power Gantt chart smarter, more dynamic, and easier to interpret. Start using dependencies today and take your project tracking to the next level! Try the Power Gantt Chart for FREE now on your own project data by downloading it from the AppSource. Questions or remarks? Visit us at: Power Gantt Chart for Power BI. Turn any image into data insights with Synoptic Panel by OKVIZ With Synoptic Panel, you can transform any SVG image into an interactive visual directly in your report. Perfect for floor plans, organizational charts, technical layouts, or geographical maps, it lets you integrate your data with images your audience already knows. A dynamic dashboard, where users can naturally explore insights by clicking on shapes and areas. This makes complex information easier to understand and more engaging to navigate. Key features include: Flexible image loading: use local files embedded in reports, remote URLs, or My Storage, our secure hosting service. Multi-level navigation: drill down into building floors or geographical regions, with automatic hierarchy creation when using remote configurations. Dynamic switching: change maps through slicers or bookmarks. Map Editor and Label Designer: fine-tune data binding, arrange and customize labels directly in the visual. Advanced coloring: apply conditional formatting and color rules to build heatmaps or highlight key areas. Map search: quickly locate maps or areas for faster access. Integrated security: safely host and distribute maps while keeping control of access. Full customization: adapt interactions, appearance, and data binding to your reporting needs. Explore real-world use cases and try Synoptic Panel for free! General Announcing deprecation of R and Python visuals in Embed for your customers solution We are announcing an important change for Power BI customers who use Embed for your customers with R or Python visuals. As part of our ongoing commitment to provide a secure, scalable, and robust analytics platform, we continually evaluate our feature set to ensure alignment with industry standards, customer needs, and platform performance. What’s Changing? Starting May 2026, Power BI will end support for the ability to embed reports and dashboards containing R or Python visuals using Power BI’s Embed for your customers solution (also known as app owns data) and Publish to web scenarios. Embed for your customers typically involves a custom app which manages authentication directly, and for which app users do not need Power BI licenses. This change does not impact customers leveraging secure embeddings to SharePoint, Website or Portal. Embed for your organization (also known as user owns data) scenarios are also not impacted. Timeline for Deprecation Announcement & Guidance: Effective immediately, customers are notified of the upcoming deprecation. Deprecation Date: Official support for embedding R and Python visuals in PaaS scenarios will end on 05/01/2026. Post-Deprecation: After this date, any embedded Power BI reports or dashboards containing R or Python visuals will still load, but the R or Python charts will display as blank. Reports without these visuals will continue to function as expected. Recommended Actions for Customers Review all embedded Power BI reports and dashboards to identify usage of R or Python visuals. Plan to update or redesign any affected reports using alternative Power BI visuals or DAX-based analytics. Consider leveraging Fabric Notebooks for more sophisticated or technical visualizations. Consult the Power BI & Fabric documentation for guidance on using alternative visuals effectively. Support and Resources We understand that this change may require updates to your existing solutions. Please reach out via the Power BI community forums or through your Microsoft account representative for personalized guidance. Closing This concludes this month’s update. We hope the information provided in this update is useful. If you installed Power BI Desktop from the Microsoft Store, please leave us a review. As always, keep voting on Ideas to help us determine what to build next. We are looking forward to hearing from you!
