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Databricks releases, every cloud

All GAPreviewBehavior changeDeprecationUpdate

6 releases of 1321

Last updated

  1. Lakebase is enabled by default in compliance security profile workspaces

    Replaces manual Lakebase enablement in HIPAA, C5, or TISAX workspaces.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  2. 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.

    #Databricks SQL#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  3. Postgres password authentication is now disabled by default for new Lakebase projects

    Existing projects are unaffected, enable in project settings to allow.

    #Lakebase#Security
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  4. New Lakebase instances now scale to zero by default

    New instances scale to zero after 24 hours of inactivity, reducing compute costs. Existing projects are unaffected.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  5. 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.

    #API#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. New Lakebase instances include autoscaling by default

    Autoscaling is on by default for new instances, applies to UI, API, Terraform, and SDK creations.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs

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.