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Databricks releases, every cloud

128 releases of 1331

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  1. Databricks Runtime 19: September 21, 2026

    It supports truncate and trim_array functions in SQL and DataFrame APIs. Session environment variables are set using spark.pythonWorkerEnv.

  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. Standard performance mode is now available for one-time runs in the Jobs API

    Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.

  5. Databricks SQL version 2026.36 is rolling out in Current

    It includes features from version 2026.32.

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

    Added generate_citations option to show supporting chunks.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. time_bucket SQL function aligns timestamps to fixed-width time buckets

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

  9. Environment version 6 is now available

    Supports serverless and standard classic compute.

  10. Databricks Runtime 19: September 1, 2026

    Auto CDF requires Databricks Runtime 19 or above with row tracking enabled. It makes MERGE and UPDATE operations about 15% faster.

  11. Databricks Runtime maintenance updates (09/01)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  12. Databricks SQL version 2026.36 is now available in Preview

    It includes features from version 2026.32.

  13. Databricks Runtime 19: August 24, 2026

    Updates Java to Zulu21.52+15-CA and upgrades Jackson libraries to version 2.22.

  14. Databricks SQL version 2026.32 is rolling out in Current

    It is available in the Current channel and includes new features.

  15. Databricks SQL version 2026.32 is now available in Preview

    It includes the is_valid_variant function and supports REPLACE USING and REPLACE ON clauses with INSERT INTO.

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

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

  17. Databricks Runtime 19: August 10, 2026

    It supports collect_union and evaluates HAVING before window functions.

  18. Change data feed on materialized views (Beta)

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

  19. Databricks Runtime maintenance updates (08/04)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

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

    Inherits custom tags from enclosing SQL warehouse environment for billing.

  22. Databricks Runtime maintenance updates (07/24)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  23. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS

    Receives 3 years of stability and security fixes.

  24. Databricks Runtime 19: July 23, 2026

    Enables Arrow-optimized Python UDFs by default, changing type-coercion behavior.

  25. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  26. July 6, 2026

    Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.

  27. Lakehouse Real-Time (Beta)

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

  28. Databricks Runtime maintenance updates (06/29)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  29. 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.

  30. Databricks Runtime 19 (Beta): June 26, 2026

    Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings.

  31. Databricks Runtime 19 (Beta): June 15, 2026

    Replaces JDK 17 with JDK 21, removes 90 Python packages.

  32. Databricks Runtime 18: June 10, 2026

    Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups.

  33. Lakehouse Replay (Beta)

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

  34. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  35. Databricks Runtime 18: June 8, 2026

    Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables.

  36. Databricks Runtime 18: June 4, 2026

    NATURAL JOIN now matches columns case-insensitively by default. Set spark.sql.legacy.naturalJoinCaseSensitiveColumnMatching to true to restore previous behavior.

  37. Databricks Runtime 18: May 29, 2026

    Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh.

  38. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

  39. Databricks Runtime maintenance updates (05/26)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  40. Databricks SQL version 2026.15 is now available in Preview

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

  41. Fixed LOD expression syntax update for metric views

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

  42. Databricks Runtime 18: May 18, 2026

    Preserves table comments by default, auto-casts compatible column types in DataFrame writes.

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