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Databricks releases, every cloud

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

    Inherits custom tags from enclosing SQL warehouse environment for billing.

  11. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  12. July 6, 2026

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

  13. Lakehouse Real-Time (Beta)

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

  14. 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.

  15. Lakehouse Replay (Beta)

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

  16. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

  17. Databricks SQL version 2026.15 is now available in Preview

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

  18. Fixed LOD expression syntax update for metric views

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

  19. Customer-managed keys now support MLflow managed evaluation features

    Supports MLflow 3 scorers and requires non-CMK encrypted catalog.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Version 18.2

    Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0.

  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 results tables in the SQL editor

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

  24. agg SQL function as a synonym for measure

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

  25. Databricks SQL version 2026.10 is rolling out in Current

    Replaces version 2026.09, requires no configuration changes.

  26. Version 18.1

    Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.

  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. Version 18.0

    Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.

  31. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  32. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  33. Databricks SQL version 2025.40 is now available in Preview

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

  34. Store and query MLflow traces in Unity Catalog (Beta)

    Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  35. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

    Defined with YAML files, they support Python, Python wheel, and notebook tasks.

  36. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  37. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  38. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  39. Databricks SQL version 2025.35 is now available in Preview

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

  40. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  41. New alert editing experience

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

  42. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

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.

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