One platform, many insights: How Eventhouse brings analytics together (Preview)

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Modern analytics isn’t just about storing data. It’s about detecting issues early, understanding them fast, and acting with confidence.

Eventhouse in Microsoft Fabric brings advanced analytics capabilities together so teams can move from raw events to insight and action without stitching tools or duplicating data.

With native integrations for Anomaly Detection, Data Agents, SQL Endpoints, and Notebooks, Eventhouse becomes the foundation for real-time, intelligent analytics.

Anomaly detection: Catch issues before they escalate

Eventhouse is designed for time series and event data, making it a natural foundation for anomaly detection. series and event data series and event data

What this means

Analyze high volume streaming or operational data without preaggregation volume streaming or operational data without preaggregation volume streaming or operational data without preaggregation

• Detects abnormal patterns, spikes, or drops directly on live datasets.
• Move seamlessly from detection to investigation using the same data.

Instead of exporting data to separate ML systems, teams can detect anomalies where the data already lives, reducing latency and operational complexity.

Value: Faster detection, fewer blind spots, and quicker response to operational issues.

Learn more: Anomaly detection in Real-Time Intelligence

Data agent integration: From signals to decisions

Eventhouse integrates as a data source for agent driven experiences, enabling automated analysis and reasoning on top of real time data.

Implications for you

• Use Eventhouse as the analytical backbone for intelligent agents, connecting real-time event data with data from many different sources and formats to create a single, unified understanding of your data.
• Enable agents to reason over both live and historical event data, not just static snapshots.
• Build automated workflows that investigate, summarize, and react to anomalies without manual intervention.

This integration moves teams beyond dashboards to AI driven insight and action across any data source, powered by trusted, query ready event data.

Value: Turn real time signals into intelligent, automated decisions.

Learn more: Create a Fabric data agent

SQL Endpoint: Analyze event data with familiar tools

Eventhouse already supports SQL today, but the SQL Endpoint takes this much further.
It’s not about adding another query language; it’s about productizing SQL as a first-class analytics surface on top of Eventhouse data.

With the SQL Endpoint, SQL becomes a native, managed, and discoverable experience, not just a connectivity option. It introduces a dedicated analytical endpoint that integrates cleanly with Fabric experiences, tooling, and governance, while staying fully aligned with the Eventhouse data model.

Value: Lower learning curve, broader adoption, and faster time to insight.

Notebooks: From exploration to advanced analytics

Eventhouse integrates seamlessly with Notebooks, enabling exploratory analysis, advanced transformations, and machine learning workflows.

Implications for you

• Open notebooks directly against Eventhouse databases
• Combine KQL, SQL, Python, and Spark in one workflow
• Train models, validate anomalies, and experiment, without data movement

Teams can start with lightweight exploration and grow into advanced analytics without changing tools or pipelines.

Value: One data foundation for exploration, experimentation, and production analytics.

Learn more: How to use notebooks

One experience—many paths to insight

Eventhouse brings these capabilities together to help teams move faster from signal to insight, without duplicating data or stitching tools. We’d love to hear how you’re using Eventhouse in your real‑time analytics workflows and what scenarios you’d like us to support next. To get started, explore the links above or dive deeper into the Microsoft Fabric Real‑Time Intelligence documentation to see what’s possible with your data today.