Improved Eventstream experience for non-schematized events — Microsoft Fabric Roadmap

Description

Eventstream now can distinguishes between different event shapes, making it easier to process and route to destination. You can design separate transformation paths for each shape with greater flexibility.With this capability, you can:- Identify distinct event shapes for the same Eventstream.- Build separate transformation paths for each shape.- Process complex, multi-shape data easily.

📰 Related Blog Article

Introducing Enhanced Capabilities in Eventstream: Derived Streams, Edit modes, and Smart Routing

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Change History

2026-07-16

Release Type General availability -> Public preview
2026-06-29

Feature Description Eventstream now distinguishes between different event shapes from multiple sources and from the stream itself making it easier to handle non-schematized data. You can design separate transformation paths for each shape with greater flexibility.With this capability you can:- Identify distinct event shapes from various sources automatically.- Build separate transformation paths for each shape.- Process complex multi-shape data without manual schema setup. -> Eventstream now can distinguishes between different event shapes making it easier to process and route to destination. You can design separate transformation paths for each shape with greater flexibility.With this capability you can:- Identify distinct event shapes for the same Eventstream.- Build separate transformation paths for each shape.- Process complex multi-shape data easily.
2026-06-29

Feature Description The Enhanced Eventstream UX for non-schematized events GA feature supports differentianting shapes from various sources and eventstream itself enabling you to design different data transformation paths by picking up one of the shapes with rich flexibility. This allows for seamless data integration and processing catering to complex and multiple data shapes environment -> Eventstream now distinguishes between different event shapes from multiple sources and from the stream itself making it easier to handle non-schematized data. You can design separate transformation paths for each shape with greater flexibility.With this capability you can:- Identify distinct event shapes from various sources automatically.- Build separate transformation paths for each shape.- Process complex multi-shape data without manual schema setup. Name Enhanced Eventstream UX for non-schematized events GA -> Improved Eventstream experience for non-schematized events
2026-06-16

Restored to Roadmap
2026-06-16

Removed from Roadmap
2026-05-22

Feature Description The multiple schemas feature supports inferring multiple schemas from various sources and eventstream itself enabling you to design different data transformation paths by picking up one of the inferred schemas with rich flexibility. This allows for seamless data integration and processing catering to complex and multiple data shapes environment -> The Enhanced Eventstream UX for non-schematized events GA feature supports differentianting shapes from various sources and eventstream itself enabling you to design different data transformation paths by picking up one of the shapes with rich flexibility. This allows for seamless data integration and processing catering to complex and multiple data shapes environment Name Eventstream Multiple Schemas Inferencing Support GA -> Enhanced Eventstream UX for non-schematized events GA
2026-03-23

Release Date 2026-06-30 -> 2026-09-30
2025-11-18

Roadmap Item Added