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Databricks releases, every cloud

113 releases of 1321

Last updated

  1. Faster package installs with %uv pip in serverless notebooks

    Requires environment version 5 or above. Replaces %pip for faster installs.

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

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

  3. agg SQL function as a synonym for measure

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

  4. 5X-Large SQL warehouse size (Public Preview)

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

  5. Databricks Excel Add-in requires workspace preview enablement

    Enabled from the Previews page by a workspace admin.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  6. Workspace base environments are now generally available

    Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Databricks SQL version 2026.10 is rolling out in Current

    Replaces version 2026.09, requires no configuration changes.

  9. Version 18.1

    Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.

  10. Connect Lovable apps to Databricks

    Uses REST API and OAuth machine-to-machine authentication.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  11. Databricks Marketplace listing creation wizard

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

  12. Databricks Connector for Google Sheets updates

    Longer query execution timeout and UI improvements added.

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

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

  14. 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.

  15. Databricks JDBC driver 2.8.0 is available

    Replaces Log4j with SLF4J 2.0.13, enables telemetry by default.

  16. Search in metric views fix

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

  17. 5X-Large SQL warehouse size (Beta)

    Available in all supported regions, controlled from Previews page.

  18. Connect to Databricks from Microsoft Excel (Public Preview)

    Imports data from tables or Metric Views, executes SQL queries in Excel.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  19. Schedule data refreshes in Google Sheets (Public Preview)

    Refreshes occur hourly, daily, or weekly.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Version 18.0

    Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.

  22. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  23. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  24. Databricks SQL version 2025.40 is now available in Preview

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

  25. Select tables and create pivot tables in Google Sheets

    Imports data via Databricks Connector, selecting from Catalog Explorer.

  26. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  27. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

    Defined with YAML files, they support Python, Python wheel, and notebook tasks.

  28. Login required to download ODBC driver

    Requires login and license acceptance, except for AWS GovCloud which needs account team access.

  29. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  30. Databricks SQL alerts are now in Public Preview

    Offers a new editing experience, replacing the previous version.

  31. 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.

  32. 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)
  33. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  34. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  35. Databricks SQL version 2025.35 is now available in Preview

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

  36. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  37. New alert editing experience

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

  38. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

  39. Visualizations fix

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

  40. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  41. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  42. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

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.