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Databricks releases, every cloud

78 releases of 1321

Last updated

  1. Base environments are now supported on classic compute (Beta)

    Manages Python dependencies using Databricks-provided or custom environments.

  2. The counter_diff SQL window function is now available

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

  3. 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.

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

    Added generate_citations option to show supporting chunks.

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

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

  6. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. REPLACE USING flows for standalone streaming tables (Beta)

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

  9. Change data feed on materialized views (Beta)

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

  10. Search and replace text across files

    Works in Databricks Git folders or Declarative Automation Bundles projects from the Search pane.

  11. Automatic cost attribution for materialized views and streaming tables in Databricks SQL

    Inherits custom tags from enclosing SQL warehouse environment for billing.

  12. Organize your work with spaces

    Preserves open tabs for specific folders or projects.

  13. Networking charges for performance-intensive products

    Charges apply to cross-region and public-internet egress for Lakebase, OpenSharing SecureConnect, Zerobus, and Files API.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs
  14. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  15. Mention Genie Code in notebook comments

    Triggers AI help inline by typing @ and selecting Genie Code.

  16. Lakehouse Real-Time (Beta)

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

  17. 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.

  18. Lakehouse Replay (Beta)

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

  19. Databricks SQL version 2026.15 is now available in Preview

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

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Fixed LOD expression syntax update for metric views

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

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

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

  23. Native data profiling for notebook results tables

    View column statistics by selecting headers and clicking Open selection details. Available in notebooks and new SQL editor.

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

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

  25. agg SQL function as a synonym for measure

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

  26. Databricks SQL version 2026.10 is rolling out in Current

    Replaces version 2026.09, requires no configuration changes.

  27. 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.

  28. Search in metric views fix

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

  29. 5X-Large SQL warehouse size (Beta)

    Available in all supported regions, controlled from Previews page.

  30. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  31. Databricks SQL version 2025.40 is now available in Preview

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

  32. Paste images into notebooks

    Copies images from local file system using ⌘ + V or Ctrl + V.

  33. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

  34. View latest scheduled notebook job results

    Shows latest scheduled run in notebooks and dashboards, can update notebook with latest results.

  35. Real-time collaboration in notebook cells, files, and SQL editor

    Multiple users can edit the same cell simultaneously, viewing each other's edits.

  36. Use Git CLI commands in Git folders (Beta)

    Runs standard Git commands in Databricks web terminal. Requires Git folder setup.

  37. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  38. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  39. Databricks SQL version 2025.35 is now available in Preview

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

  40. New alert editing experience

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

  41. Visualizations fix

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

  42. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

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.