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Databricks releases, every cloud

7 releases of 1321

Last updated

  1. Target an Azure capacity reservation group for classic compute

    Requires VNet injection, guarantees compute capacity for constrained VM types.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  2. Web terminal on serverless GPU compute (AI Runtime) is in Public Preview

    Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  3. Serverless compute is now available in the Azure UK West region

    Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs
  4. Managed disaster recovery is now in Public Preview

    Replicates metadata, table data, and workspace assets to a secondary region. Requires account team enablement.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  5. Mission Critical add-on is now in Public Preview

    Unlocks managed disaster recovery and ESC for a single compute rate, enabled per workspace.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  6. Updated AWS tag character restrictions

    Tag keys and values now cannot contain spaces or /. Tag keys also cannot be just . , .. , or _index.

    AWS, read it on their docsAzure(not on this cloud)GCP(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
  8. Configure compute to use AWS Capacity Blocks

    Replaces on-demand instances, requires AWS account setup.

    AWS, read it on their docsAzure(not on this cloud)GCP(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.