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Databricks releases, every cloud

60 releases of 1321

Last updated

  1. The counter_diff SQL window function is now available

    Calculates differences between consecutive cumulative counter values, available in Databricks Runtime 19 and above.

  2. Window measures on a numeric index column in metric views

    Supports unitless offset and ranges on consecutive integer columns, useful for non-calendar periods like fiscal weeks.

  3. See which chunks support each ai_search answer (Beta)

    Added generate_citations option to show supporting chunks.

  4. time_bucket SQL function aligns timestamps to fixed-width time buckets

    Replaces date_trunc for non-calendar units, requires origin and width parameters.

  5. REPLACE USING flows for standalone streaming tables (Beta)

    Replaces rows matching specified key columns, requires SEQUENCE BY column.

  6. Change data feed on materialized views (Beta)

    Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Automatic cost attribution for materialized views and streaming tables in Databricks SQL

    Inherits custom tags from enclosing SQL warehouse environment for billing.

  9. Organize your work with spaces

    Preserves open tabs for specific folders or projects.

  10. Create a least-privilege Databricks workspace

    Grants Databricks a narrow set of custom IAM roles instead of broad permissions on Google Cloud.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  11. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  12. Lakehouse Real-Time (Beta)

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

  13. 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.

  14. Lakehouse Replay (Beta)

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

  15. Databricks SQL version 2026.15 is now available in Preview

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

  16. Fixed LOD expression syntax update for metric views

    Uses SQL window functions, replacing two-step pre-computation approach.

  17. Customer-managed keys now support MLflow managed evaluation features

    Supports MLflow 3 scorers and requires non-CMK encrypted catalog.

  18. Native data profiling for results tables in the SQL editor

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

  19. agg SQL function as a synonym for measure

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

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Databricks SQL version 2026.10 is rolling out in Current

    Replaces version 2026.09, requires no configuration changes.

  22. 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.

  23. Search in metric views fix

    Now returns correct results across paginated results and supports filtering by display name.

  24. 5X-Large SQL warehouse size (Beta)

    Available in all supported regions, controlled from Previews page.

  25. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  26. Databricks SQL version 2025.40 is now available in Preview

    Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.

  27. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

  28. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  29. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  30. Databricks SQL version 2025.35 is now available in Preview

    Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.

  31. New alert editing experience

    Replaces old editor with a multi-tab editor for unified workflow.

  32. Visualizations fix

    Fixes legend selection for charts with aliased series names in SQL editor and notebooks.

  33. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  34. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  35. Databricks SQL version 2025.25 is rolling out in Current

    Rolls out from August 20th to August 28th, 2025.

  36. Databricks SQL version 2025.25 is now available in Preview

    Adds recursive common table expressions and spatial SQL expressions.

  37. Fixed timeout handling for materialized views and streaming tables

    New views and tables apply warehouse timeout, existing ones require CREATE OR REFRESH. Default timeout is 2 days.

  38. Preset date ranges for parameters in the SQL editor

    Includes options like This week, Last 30 days, and Last year for timestamp and date parameters.

  39. Jobs & Pipelines list now includes Databricks SQL pipelines

    Includes materialized views and streaming tables created with Databricks SQL.

  40. Inline execution history in SQL editor

    Shows past results without re-executing queries, links to past query profiles.

  41. Databricks SQL version 2025.20 is now available in Current

    Rolls out in stages to the Current channel, see 2025.20 features for details.

  42. SQL editor updates

    Supports date-range and multi-select parameters, and rearranges the run button and catalog picker to the header.

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.