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Databricks releases, every cloud

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14 releases of 1321

Last updated

  1. Databricks Apps telemetry is now generally available

    Collects traces, logs, and metrics to Unity Catalog tables using OpenTelemetry.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Automatic change data feed is now generally available

    Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. 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.

    #Compute#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

    Powered by Apache Spark 4.2.0.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. Databricks Runtime 18.2 is now GA

    Replaces 7.3 and 7.3 ML.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Compute log delivery to volumes is now GA

    Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage.

    #Compute
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(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. Git-backed app deployments are now generally available

    Deploys apps from Git repositories, allowing Git-only deployments across a workspace.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  9. Databricks Runtime 18.1 is now GA

    Replaces Databricks Runtime 7.3.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. Compute sizing for Databricks Apps is now generally available

    Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Databricks Runtime 18.0 is now GA

    Replaces Databricks Runtime 7.3.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. Flexible node types are now generally available

    Falls back to alternative instance types when specified type is unavailable, improving launch reliability.

    #Compute
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. Databricks Runtime 17.3 LTS is now GA

    Replaces 7.3 LTS, requires Databricks account.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  14. Databricks Runtime 17.2 is now is now GA

    Replaces 7.3 and earlier, requires new cluster creation.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  15. Databricks Runtime 17.1 is now is now GA

    Replaces Databricks Runtime 7.3.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(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.