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Databricks releases, every cloud

98 releases of 1321

Last updated

  1. Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available

    Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.

  2. Databricks SQL version 2026.15 is now available in Preview

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

  3. Fixed LOD expression syntax update for metric views

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

  4. Databricks SQL alerts are now generally available

    Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.

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

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

  6. agg SQL function as a synonym for measure

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

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. 5X-Large SQL warehouse size (Public Preview)

    Provides 512 workers, available in all regions, controlled from Previews page.

  9. Databricks SQL version 2026.10 is rolling out in Current

    Replaces version 2026.09, requires no configuration changes.

  10. Databricks Marketplace listing creation wizard

    Guides setup of general info, data assets, and attributes in separate steps.

  11. New SQL editor default enablement and legacy SQL editor retirement Coming soon

    New SQL editor becomes default in May, legacy editor retires in July.

  12. 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.

  13. Search in metric views fix

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

  14. 5X-Large SQL warehouse size (Beta)

    Available in all supported regions, controlled from Previews page.

  15. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  16. Databricks SQL version 2025.40 is now available in Preview

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

  17. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  18. Databricks SQL alerts are now in Public Preview

    Offers a new editing experience, replacing the previous version.

  19. Convert foreign tables to Unity Catalog managed or external tables (Public Preview)

    Requires Databricks Runtime 17.0 LTS or above. Uses ALTER TABLE SET MANAGED or SET EXTERNAL.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. List MCP servers in Databricks Marketplace (Public Preview)

    Lets users install MCP servers to connect AI agents to external data sources.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  22. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  23. Databricks SQL version 2025.35 is now available in Preview

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

  24. New alert editing experience

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

  25. Visualizations fix

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

  26. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  27. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  28. Default warehouse setting is now available in Beta

    Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.

  29. Databricks SQL version 2025.25 is rolling out in Current

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

  30. Databricks SQL version 2025.25 is now available in Preview

    Adds recursive common table expressions and spatial SQL expressions.

  31. 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.

  32. New SQL editor is generally available

    Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.

  33. 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.

  34. Jobs & Pipelines list now includes Databricks SQL pipelines

    Includes materialized views and streaming tables created with Databricks SQL.

  35. Inline execution history in SQL editor

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

  36. Databricks SQL version 2025.20 is now available in Current

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

  37. SQL editor updates

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

  38. Git support for alerts

    Tracks alert changes, requires placing alerts in a Databricks Git folder. Newly cloned alerts are paused.

  39. Databricks SQL version 2025.20 is now available in Preview

    Includes new features and behavioral changes in Preview channel.

  40. Databricks SQL Serverless engine upgrades

    Upgrades bring up to 25% lower latency and add Predictive Query Execution and Photon vectorized shuffle.

  41. User interface updates

    Emits listHistoryQueries and getHistoryQuery events on Query History page and query profile opens.

  42. Metric views are in Public Preview

    Requires a SQL warehouse on the 2025.16 Preview channel. Abstracts complex business logic into a centralized definition.

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.