Skip to content

Databricks releases, every cloud

159 releases of 1321

Last updated

  1. Sharing foreign Delta tables with OpenSharing is now generally available

    Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.

  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. Sharing foreign Iceberg tables with OpenSharing is now generally available

    Includes tables from external Iceberg catalogs via Lakehouse Federation.

  5. Sharing foreign schemas and tables with OpenSharing is now generally available

    Sharing foreign schemas and tables doesn't copy data into Databricks. It incurs compute and storage costs on the provider's side.

  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. Share metric views with OpenSharing (Beta)

    Allows sharing with users in other metastores or accounts. Requires adding views to a share.

  10. Automatic change data feed is now generally available

    Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.

  11. Databricks Runtime 19: September 1, 2026

    Replaces manual change data feed enablement, requires row tracking enabled.

  12. Databricks Runtime maintenance updates (09/01)

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

  13. Share foreign Delta tables with OpenSharing (Public Preview)

    Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.

  14. Sharing managed Iceberg tables is now generally available

    Now supports sharing to external Iceberg clients.

  15. Sharing tables backed by default storage is now generally available

    Enabled by default on a rolling basis, can be shared with classic compute recipients.

  16. Sharing tables backed by default storage will be enabled by default for all accounts Coming soon

    Automatically enabled for most Enterprise or Premium tier accounts in mid-September 2026.

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

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

  18. Alert system tables are in Public Preview

    Contains alerts and alert_evaluation_history tables for auditing and monitoring.

  19. Change data feed on materialized views (Beta)

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

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Databricks Runtime maintenance updates (08/04)

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

  22. Sharing Delta tables with deletion vectors and column mapping is now generally available

    Enables sharing tables with deletion vectors or column mapping. Requires setup in Add tables with deletion vectors or column mapping to a share.

  23. Sharing Delta tables with Iceberg reads enabled is now generally available

    Enables reading Delta tables as Iceberg tables, requires Databricks Runtime 8.4 or above.

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

    Inherits custom tags from enclosing SQL warehouse environment for billing.

  25. Databricks Runtime maintenance updates (07/24)

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

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

    Receives 3 years of stability and security fixes.

  27. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

    Powered by Apache Spark 4.2.0.

  28. Databricks Runtime 19: July 23, 2026

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

  29. Databricks-hosted sample datasets available in the samples catalog

    Available in Unity Catalog-enabled workspaces through OpenSharing as samples.databricks.datasets.

  30. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  31. Trigger.AvailableNow support for OpenSharing streaming (GA)

    Replaces Trigger.Once, requires Databricks Runtime 18.0 or above.

  32. Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled

    Supports all compliance security profile standards, monitors data and KPIs via scheduled queries.

  33. Lakehouse Real-Time (Beta)

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

  34. MATCH_RECOGNIZE is now in Beta

    Requires enabling Match Recognize preview in workspace settings.

  35. Databricks Runtime maintenance updates (06/29)

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

  36. 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.

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

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

  38. Metric view parameters are now in Public Preview

    binds values at query time, replacing separate views per variant.

  39. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

  40. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta

    Powered by Apache Spark 4.2.0.

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

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

  42. OIDC is now supported for sharing to Iceberg clients

    Supports Iceberg REST Catalog clients like Snowflake or OSS Spark. Requires OpenID Connect federation.

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.