Skip to content

Databricks releases, every cloud

94 releases of 1321

Last updated

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

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

  2. 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.

  3. Databricks JDBC driver 2.8.0 is available

    Replaces Log4j with SLF4J 2.0.13, enables telemetry by default.

  4. Search in metric views fix

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

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

    Available in all supported regions, controlled from Previews page.

  6. 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)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Schedule data refreshes in Google Sheets (Public Preview)

    Refreshes occur hourly, daily, or weekly.

  9. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  10. Databricks SQL version 2025.40 is now available in Preview

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

  11. Select tables and create pivot tables in Google Sheets

    Imports data via Databricks Connector, selecting from Catalog Explorer.

  12. Login required to download ODBC driver

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

  13. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  14. Databricks SQL alerts are now in Public Preview

    Offers a new editing experience, replacing the previous version.

  15. 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.

  16. 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)
  17. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  18. Databricks SQL version 2025.35 is now available in Preview

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

  19. New alert editing experience

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

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

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

  22. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  23. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  24. Default warehouse setting is now available in Beta

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

  25. Databricks SQL version 2025.25 is rolling out in Current

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

  26. Databricks SQL version 2025.25 is now available in Preview

    Adds recursive common table expressions and spatial SQL expressions.

  27. 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.

  28. New SQL editor is generally available

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

  29. 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.

  30. Jobs & Pipelines list now includes Databricks SQL pipelines

    Includes materialized views and streaming tables created with Databricks SQL.

  31. Inline execution history in SQL editor

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

  32. Databricks SQL version 2025.20 is now available in Current

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

  33. SQL editor updates

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

  34. Git support for alerts

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

  35. Databricks SQL version 2025.20 is now available in Preview

    Includes new features and behavioral changes in Preview channel.

  36. Databricks SQL Serverless engine upgrades

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

  37. User interface updates

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

  38. Metric views are in Public Preview

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

  39. User interface updates

    New queries are created in Drafts folder by default, moving out when saved or renamed.

  40. New alert version in Beta

    Simplifies creating and managing alerts with a single interface, can be used alongside legacy alerts.

  41. User interface updates

    Tooltips in charts now follow number formatting defined in Data labels tab.

  42. Databricks SQL version 2025.16 is now available

    Available in Preview channel, includes new features and bug fixes.

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.