Skip to content

Databricks releases, every cloud

154 releases of 1321

Last updated

  1. The counter_diff SQL window function is now available

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

  2. 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.

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

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

  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. Environment version 6 is now available

    Supports serverless and standard classic compute.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. 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.

  9. Databricks Runtime 19: September 1, 2026

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

  10. Databricks Runtime maintenance updates (09/01)

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

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

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

  12. Alert system tables are in Public Preview

    Contains alerts and alert_evaluation_history tables for auditing and monitoring.

  13. Change data feed on materialized views (Beta)

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

  14. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

  15. Databricks Runtime maintenance updates (08/04)

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

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

    Inherits custom tags from enclosing SQL warehouse environment for billing.

  17. Serverless compute access control is now generally available

    Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

  18. Databricks Runtime maintenance updates (07/24)

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

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

    Receives 3 years of stability and security fixes.

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

    Powered by Apache Spark 4.2.0.

  22. Databricks Runtime 19: July 23, 2026

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

  23. Automated setup for S3 external locations

    Uses AWS IAM temporary delegation to configure external locations and provision required resources.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP, read it on their docs
  24. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  25. 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.

  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. MATCH_RECOGNIZE is now in Beta

    Requires enabling Match Recognize preview in workspace settings.

  29. Databricks Runtime maintenance updates (06/29)

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

  30. 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.

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

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

  32. Metric view parameters are now in Public Preview

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

  33. 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.

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

    Powered by Apache Spark 4.2.0.

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

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

  36. Databricks Runtime 18: June 10, 2026

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

  37. Lakehouse Replay (Beta)

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

  38. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  39. Databricks Runtime 18: June 8, 2026

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

  40. UNIQUE constraint support is now in Public Preview

    Enables join elimination and DISTINCT simplification on Photon-enabled compute. Applies to Unity Catalog Delta Lake tables.

  41. 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.

  42. Databricks Runtime 18: May 29, 2026

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

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.

We measure how the site is used. PostHog and Google Analytics, set to measurement only with advertising features off. We do not sell your data or share it for advertising, and you can turn this off. What this stores.