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Databricks releases, every cloud

56 releases of 1321

Last updated

  1. Lakebase now available on Azure (Beta)

    Lakebase on Azure offers autoscaling compute and scale-to-zero. Supported regions include eastus2, westeurope, and westus.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  2. Lakebase is now generally available

    Includes autoscaling and point-in-time recovery.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  3. Manage Lakebase from the Lakebase App

    Replaces Compute tab navigation in Lakehouse UI, accessed via apps switcher.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  4. Connect to Lakebase from the SQL editor with read-write access

    Supports full read-write access, see documentation for setup.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  5. Lakebase metrics dashboard

    Monitors system and database health with metrics like RAM and CPU usage.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  6. Lakebase ACL support

    Grants CAN CREATE or CAN MANAGE permissions from project settings.

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

    Introduces autoscaling compute and database branching on AWS. Free until January 2026.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  9. Lakebase (Beta) now available

    Adds autoscaling and database branching on AWS, separate from Public Preview.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  10. OLTP Database tab renamed to Lakebase Postgres in Compute section

    Used to create and manage Lakebase database instances, replacing OLTP Database tab.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  11. Lakebase synced tables supports syncing Apache Iceberg and foreign tables in Snapshot mode

    Syncs Iceberg and foreign tables in Snapshot mode, requiring a supported Databricks runtime.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  12. Budget policy support for Lakebase database instances and synced tables (Public Preview)

    Tags database instances and synced tables for billing attribution, also supports custom tags for compute usage.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  13. Data type mapping update for Lakebase synced tables

    Newly created synced tables map TIMESTAMP to TIMESTAMP WITH TIMEZONE. Existing tables still use TIMESTAMP WITHOUT TIMEZONE.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  14. Declarative Automation Bundles support for Lakebase database resources

    Defines Lakebase database catalogs, instances, and synced tables for one-command deployment. Starts instances immediately upon bundle deployment.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  15. Lakebase Public Preview enabled by default

    No admin enablement required, can be disabled by admins.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  16. Databricks Terraform provider supports Lakebase resources

    Creates database catalogs, instances, and synced tables with infrastructure as code.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  17. Synced tables are now metered and billed

    Metering is automatic, usage is tracked in system.billing.usage.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)

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.