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Databricks releases, every cloud

21 releases of 1340

Last updated

  1. Lakebase backup schedule API (Beta)

    Manages automated snapshot cadences and retention. Available to all Lakebase workspaces.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  2. Data Classification now scans Unity Catalog views (Beta)

    Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.

  3. Lakebase snapshots API (Beta)

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

  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. Custom trace views in the MLflow trace explorer are in Beta

    Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. MLflow trace storage in Unity Catalog is now generally available

    Stores traces in OpenTelemetry format with unlimited storage and SQL query access.

  9. Data Classification is now available by default for additional compliance standards

    Requires compliance security profile with C5, TISAX, or IRAP controls.

  10. Lakebase update notifications now post 3 days in advance

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

  11. Data Classification is now available by default for some workspaces with the compliance security profile enabled

    Requires compliance security profile and specific controls like HIPAA or HITRUST.

  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. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

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

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

  15. MLflow trace storage in Unity Catalog is now in Public Preview

    Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.

  16. Databricks Data Classification is now GA

    Automatically classifies and tags sensitive data in Unity Catalog using AI.

  17. Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon

    Deletes now retain associated tables by default, set cascade=true to remove them.

  18. Databricks Documentation site table of contents tabs

    Replaces static sidebar with tabbed navigation, includes 6 context tabs.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  19. Lakebase databases as Databricks Apps resources

    Replaces manual database configuration, requires Lakebase setup.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Change to use_case field in VPC endpoint API responses Coming soon

    Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  22. Data Classification (Public Preview)

    Supports all catalog types, consolidates results into a system table.

  23. Data classification system table Beta

    Captures sensitive data detections at column level across enabled catalogs.

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