Releasesby GlyphUse OneLake as native storage for Azure Databricks (Preview)
OneLake external-location support for Azure Databricks Unity Catalog is now generally available in Microsoft Fabric. This integration allows Unity Catalog-managed data to be stored directly in OneLake, providing a shared physical data foundation for both platforms.
Also shipped Nov 11, 2026Microsoft in November 2026 →
Web search in apps
Retool added native web search capabilities to the app builder Chat tab and app functions, enabling agent applications to query live web data via a managed Tavily account.
Eval datasets, curated by Bayes from your agents' real conversations
Monte Carlo introduced automated evaluation dataset generation by Bayes, creating Golden and Improvement datasets from an agent's scored conversations across intent and issue clusters.
Pages are generally available
Databricks announced the general availability of Pages in Unity Catalog, providing governed definitions of business concepts organized by domain on the Discover page.
BigQuery project caps are generally available
Project caps, also known as scheduling policies, are now generally available for BigQuery Enterprise and Enterprise Plus editions. This feature allows users to limit maximum slots and concurrency per project within a reservation.
BigQuery reservation assignments support principal routing
BigQuery now allows specifying a principal property on reservation assignments to route queries to specific reservations based on the identity of the user or service account. This feature is generally available for Enterprise and Enterprise Plus editions.
BigQuery JSON_FLATTEN function is generally available
The JSON_FLATTEN function is now generally available. It extracts non-array values from JSON inputs, including those nested within consecutive arrays.
More from Microsoft FabricEvery Microsoft Fabric release →
The next chapter for CI/CD in Fabric Warehouse (Preview)
Microsoft Fabric Warehouse has expanded its CI/CD capabilities to support a complete lifecycle for data warehouses. This includes schema deployment via DacFx, pre- and post-deployment scripts, and Warehouse Item Definition APIs for automation.
Unifying SQL Pools: Upcoming changes to UI and APIs
Microsoft announced upcoming changes to Fabric Data Warehouse SQL pools, unifying workload management into a single configuration model while deprecating the customSQLPoolsEnabled flag.
Build more connected workflows with Fabric Actions and Business Actions in Fabric Pipelines (Preview)
Microsoft Fabric now supports Fabric Actions and Business Actions in pipelines, allowing users to trigger Fabric REST API operations and third-party business applications directly within workflows. This reduces the need for custom API integration code.
Regular expression functions in Microsoft Fabric Data Warehouse (Preview)
Microsoft Fabric Data Warehouse now supports scalar regular expression functions, including REGEXP_LIKE, REGEXP_REPLACE, and REGEXP_SUBSTR. These functions allow engineers to extract, validate, and transform text data directly within T-SQL.
Use OneLake as native storage for Azure Databricks (Generally Available)
OneLake external-location support for Azure Databricks Unity Catalog is now generally available. This integration allows Unity Catalog-managed data to be stored directly in OneLake, providing a shared physical data foundation for both Databricks and Fabric.
Eventhouse support for OneLake security (Generally Available)
OneLake security is now generally available for Eventhouse external tables. This allows for consistent object-level, column-level, and row-level access controls across Microsoft Fabric engines.
Find expensive queries from Capacity Metrics (Generally Available)
The Monitor in warehouse feature is now generally available in the Microsoft Fabric Capacity Metrics app. It allows users to navigate directly from capacity usage spikes to specific warehouse query history.
OneLake table APIs: Now with Iceberg writes, plus richer table metadata (Preview)
OneLake table APIs now support Iceberg REST Catalog writes, allowing engines like PyIceberg and DuckDB to commit data directly. A new metadata API in preview allows adding descriptions and tags to tables and columns.