Benefits of Migrating to Fabric RTI
Migrating to Microsoft Fabric Real-Time Intelligence offers several benefits for organizations looking to enhance their data analytics capabilities:
- A comprehensive SaaS offering: An all-encompassing solution that facilitates the discovery of insights from your time-sensitive data, allowing you to ingest, process, query, visualize, and act upon it in real-time.
- A centralized hub for your dynamic data: A unified data estate for all your event data in motion, simplifying the ingestion, storage, and curation of fine-grained data from across your organization through the Real-Time Hub.
- Rapid solution development: Empower team members of varying expertise to extract more value from data and quickly build solutions on top it for further business growth.
- Insights powered by real-time AI: Scale manual monitoring and effortlessly initiate actions with ready-to-use, automated features that uncover hidden patterns, and fully use the Microsoft ecosystem to drive your business forward.
Azure PaaS vs. Fabric RTI solution architecture
Overall Feature Comparison
Capability | Azure PaaS-based solution | Real-time Intelligence solution |
Integration of services | Depends on integration compatibility between the services in scope of the architecture. | One-click integration at each step of data ingestion, process, analyze, visualize, and act. |
Pro and citizen dev experience | More suitable for pro developers. | Pro developers, citizen developers, and business users can coexist. |
Low-code/No-code | Only available for transformation in Azure Stream Analytics and for creating alerts using Logics Apps or Power Automate. Pro development required for end-to-end implementation. | End-to-end implementation from ingestion to analyze to transform to visualize and act can be realized. |
Consumption Model | Service dependent estimation, consumption, and billing model. | Uniform Fabric Capacity Unit consumption and billing model. |
Multicloud connectors | Azure Stream Analytics connects to Confluent Kafka. No connectors to read data from Amazon Kinesis or Google Pub/Sub. | Native integration for Confluent Kafka, Amazon Kinesis, Google Pub/Sub. |
Support for CDC streams | Requires deployment of other services such as Debezium. | Native integration for Azure Cosmos DB, PostgreSQL, MySQL DB, and Azure SQL. |
Support for protocols | Azure Event Hubs, AMQP, Kafka, and MQTT. | Azure Event Hubs, AMQP, Kafka. |
Data profiling | Not available | Data profiling view of your real-time tables provides out-of-the-box histograms and min-max ranges for each column. |
Visual data exploration | Not available | Drag-and-drop features to visually analyze your real-time data. |
Copilot experience | Azure Data Explorer cluster can be added as a source in Fabric KQL Queryset to use Copilot capabilities. | Natively available |
Built-in ML models | Anomaly detection and forecasting models available. Pro development required to deploy anomaly detection and forecasting models. | Anomaly detection and forecasting models available. Business users can also apply anomaly detection models on incoming streaming data. |
Visualization (Microsoft) | Power BI, Azure Data Explorer dashboards | Native one-click integration with Power BI and Real-Time Dashboard. |
Visualization (Third party) | Grafana, Kibana, Matlab. | Grafana, Kibana, Matlab can also be integrated with Eventhouse. |
Driving business actions from insights | Requires Azure Logic Apps or Power Automate or Azure Functions, Azure Monitor alerts. | Natively available in Fabric using Fabric Activator items with out-of-the-box integration with Power BI semantic models, Eventstream, and KQL queries. |
Reactive system events | Not available | Built-in events published through Real-Time hub; Use Activator items to automate data processes, such as pipelines and notebooks. |
Real-time Semantic Models | Not available or code-first solution using Logic Apps or Azure Functions | Not available |
Built-in AI | Not available | Not available |
Notification destinations | Depends on the connector portfolio of the service. | Microsoft Teams, Microsoft Outlook, and Power Automate connectors. |
Driving business actions from insights | Requires Azure Logic Apps or Power Automate or Azure Functions, Azure Monitor alerts. | Natively available in Fabric using Fabric Activator items with out-of-the-box integration with Power BI semantic models, Eventstream, and KQL queries. |
Unified catalog of data streams | Not available | Real-time hub |
Discovery of Microsoft data streams | Not available | Real-time Intelligence hub discovers data streams in your Azure tenant. |
Capture and act on events from Azure Storage | Requires deploying Azure Event Grid to act on events occurring in Azure Storage. | Azure Blob Storage event-based triggers available. |
Capture and act on events from Fabric | Not applicable | Natively available in Fabric |
Migration Script + Fabric Pipeline
Repo: iamjenetzler/ADXtoRTI: Script to migrate schema from ADX database to Fabric RTI KQL database
- Purpose: PowerShell script to migrate schema from an ADX database to a Fabric RTI KQL database.
- Prerequisites:
- Azure Service Principal with specific API permissions.
- Reader access on ADX Clusters.
- Security Group setup in Fabric admin portal.
- Kusto .NET client libraries installed.
- Steps:
- Retrieve Fabric access token.
- Connect to source ADX cluster and database.
- Add service principal as admin to source database.
- Create or verify Eventhouse in Fabric Workspace.
- Data Movement:
- Use a copy data pipeline in Fabric Data Factory to move data from ADX to Fabric RTI.
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