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Databricks releases, every cloud

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14 releases of 1321

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  1. Dashboard relationships (Public Preview)

    Builds complex multi-fact data models for AI/BI dashboards.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  2. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta

    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)
  3. Genie mobile app (Public Preview)

    Access Genie One from iOS and Android devices. Requires download from Apple App Store or Google Play Store.

    #AI/BI#Genie
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning are in Beta

    Powered by Apache Spark 4.1.0, replacing separate release notes for feature versions.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. Genie One scheduled tasks (Public Preview)

    Sends email with results when tasks run, automating weekly digests or daily insights.

    #AI/BI#Genie
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Chat in Genie One is now in Public Preview

    Uses natural language to answer questions with existing Genie Agents and data. Enabled from Previews page.

    #AI/BI#Databricksone
    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. Databricks Runtime 18.2 and Databricks Runtime 18.2 ML are in Beta

    Powered by Apache Spark 4.1.0.

    #Databricks Runtime
    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 and Databricks Runtime 18.1 ML are in Beta

    Powered by Apache Spark 4.1.0.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  10. Change default workspace access to Consumer access (Public Preview)

    Preserves existing users' authoring permissions, streamlines consumer onboarding.

    #AI/BI#Genie
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Databricks Runtime 18.0 and Databricks Runtime 18.0 ML are in Beta

    Powered by Apache Spark 4.1.0, includes JDK 21 as default.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. Genie APIs and Research Agent in Beta

    Genie Create and Update APIs allow creating and updating Genie Agents. Research Agent enables multi-step reasoning and hypothesis testing.

    #AI/BI#Genie
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. Databricks Runtime 17.3 LTS and Databricks Runtime 17.3 LTS ML are in Beta

    Powered by Apache Spark 4.0.0, includes new configuration options.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  14. Dashboard external embedding Public Preview and new custom calculations functions

    Adds ln, log, log10, and round functions, increases custom calculations limit to 200 per dataset.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  15. Metric views are in Public Preview

    Requires a SQL warehouse on the 2025.16 Preview channel. Abstracts complex business logic into a centralized definition.

    #AI/BI#Databricks SQL
    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.