Databricks releases, every cloud
- Spark Declarative Pipelines on Lakeflow now supports stream progress metrics in Public Preview
Supports querying event log for stream progress metrics.
- AI agents: Authorize on-behalf-of-user Public Preview
Lets agents act as the Databricks user who runs the query for added security.
- Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is rolled back to Public Preview
Reverts migration feature to Public Preview due to issues. Requires re-enabling default publishing mode in pipelines.
- Default warehouse setting is now available in Beta
Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.
- External MCP servers are in Beta
Enables agent access to external tools, requires connecting to Model Context Protocol servers.
- Spark Declarative Pipelines on Lakeflow template in bundles in the workspace (Public Preview)
Creates ETL pipelines in workspace bundles using Lakeflow template. Requires New ETL pipeline setup.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Metric views are in Public Preview
Requires a SQL warehouse on the 2025.16 Preview channel. Abstracts complex business logic into a centralized definition.
- New alert version in Beta
Simplifies creating and managing alerts with a single interface, can be used alongside legacy alerts.
- CAN VIEW permission for SQL warehouses is in Public Preview
Allows monitoring of SQL warehouses, including query history and profiles, without allowing query execution.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.