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Databricks releases, every cloud

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21 releases of 1321

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  1. Git Folder Serverless is in Beta

    Shares serverless compute and pyproject.toml environment across notebooks and files.

    #Compute#Git Folders
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Alert system tables are in Public Preview

    Contains alerts and alert_evaluation_history tables for auditing and monitoring.

    #Databricks SQL#System tables & audit logs
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. 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.

    #Compute#Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  4. Agentic code converter is in Beta

    Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement.

    #Migration
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. MATCH_RECOGNIZE is now in Beta

    Requires enabling Match Recognize preview in workspace settings.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Metric view parameters are now in Public Preview

    binds values at query time, replacing separate views per variant.

    #Databricks SQL
    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 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)
  9. UNIQUE constraint support is now in Public Preview

    Enables join elimination and DISTINCT simplification on Photon-enabled compute. Applies to Unity Catalog Delta Lake tables.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. 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)
  11. Instance events and instance pools system tables are now available (Public Preview)

    Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.

    #Compute#Platform
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  12. 5X-Large SQL warehouse size (Public Preview)

    Provides 512 workers, available in all regions, controlled from Previews page.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  13. 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)
  14. 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)
  15. 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)
  16. Databricks SQL alerts are now in Public Preview

    Offers a new editing experience, replacing the previous version.

    #Data Warehousing#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  17. Convert foreign tables to Unity Catalog managed or external tables (Public Preview)

    Requires Databricks Runtime 17.0 LTS or above. Uses ALTER TABLE SET MANAGED or SET EXTERNAL.

    #Databricks SQL#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  18. 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)
  19. Default warehouse setting is now available in Beta

    Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. 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)
  22. New alert version in Beta

    Simplifies creating and managing alerts with a single interface, can be used alongside legacy alerts.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  23. CAN VIEW permission for SQL warehouses is in Public Preview

    Allows monitoring of SQL warehouses, including query history and profiles, without allowing query execution.

    #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.