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Databricks releases, every cloud

27 releases of 1321

Last updated

  1. Lakebase snapshots API (Beta)

    Manages point-in-time snapshots of project branches, allowing create, get, list, delete, and restore operations.

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

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

  3. Environment version 6 is now available

    Supports serverless and standard classic compute.

  4. Postgres minor version updates

    Updates to 16.15, 17.11, and 18.6, applied on compute restart.

  5. Lakebase Postgres APIs are now generally available

    Supports operations for projects, branches, and databases through REST API, CLI, and SDKs.

  6. JAR tasks on serverless compute are now generally available

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

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Format AI/BI dashboard widget titles and descriptions with rich text

    Supports text styling, links, and tables via toolbar or markdown.

  9. 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.

  10. Lakebase update notifications now post 3 days in advance

    Replaces 7-day notice, check project settings for upcoming updates.

  11. July 6, 2026

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

  12. Lakebase Postgres is now in Beta

    Available in us-east4, us-central1, and europe-west3 regions.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  13. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

  14. Version 18.2

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

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

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

  16. Workspace base environments are now generally available

    Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.

  17. Version 18.1

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

  18. Lakebase databases as Databricks Apps resources

    Replaces manual database configuration, requires Lakebase setup.

  19. Version 18.0

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

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  22. New GCP regions support serverless compute

    Available in me-central1 and southamerica-east1 regions.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  23. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  24. 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.

  25. Serverless workspaces are now available in new GCP regions

    Available in most GCP regions, see documentation for list.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  26. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  27. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  28. 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.

  29. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

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.