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Databricks releases, every cloud

12 releases of 1321

Last updated

  1. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  2. Lakehouse Real-Time (Beta)

    Delivers sub-second SQL read queries against Unity Catalog tables. Built for low-latency workloads.

  3. Databricks SQL version 2026.20 is now available in Preview

    Adds IP address functions, NEAREST BY join type, and QUALIFY clause, with fixes for MERGE WITH SCHEMA EVOLUTION.

  4. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

  5. Databricks SQL version 2026.15 is now available in Preview

    XPath no longer fetches external DTDs, fixing failures from malformed URLs.

  6. Serve custom LLMs with Custom Model Serving (Beta)

    Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Native data profiling for results tables in the SQL editor

    Select column headers and click Open selection details to view statistics.

  9. agg SQL function as a synonym for measure

    Replaces measure, used as agg(measure_column) in metric views.

  10. Databricks SQL version 2026.10 is rolling out in Current

    Replaces version 2026.09, requires no configuration changes.

  11. Databricks SQL version 2026.10 is now available in Preview

    Fixes observation metric errors, optimizes Unity Catalog writes, and uses session timezone for timestamp partitions.

  12. 5X-Large SQL warehouse size (Beta)

    Available in all supported regions, controlled from Previews page.

  13. Endpoint telemetry for custom model serving endpoints (Beta)

    Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)

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.