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Databricks releases, every cloud

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14 releases of 1321

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  1. Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview

    Supports text and image inputs with a 1 million token context window. Access via Foundation Model APIs.

    #Databricks AI
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  2. Restrict access to AI Functions with Unity Catalog permissions (Public Preview)

    Requires account team enablement, restricts access to task-specific AI Functions.

    #Databricks AI#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  3. Omnigent coding agent meta-harness is now in Beta

    Wraps coding agents like Claude Code and Codex with a common platform. Swap runtimes with one line of configuration.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. 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)
  5. 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)
  6. 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)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. ai_classify and ai_extract now support v2 signatures (Public Preview)

    Supports improved quality and performance with native composability with ai_parse_document.

    #Databricks AI
    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. Qwen3-Embedding-0.6B now available in Public Preview as a Databricks-hosted model

    Accessible via Foundation Model APIs on a pay-per-token basis.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Managed MCP servers is now Public Preview

    Allows AI agents to connect to Databricks resources and external APIs.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. 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)
  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. AI agents: Authorize on-behalf-of-user Public Preview

    Lets agents act as the Databricks user who runs the query for added security.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  15. External MCP servers are in Beta

    Enables agent access to external tools, requires connecting to Model Context Protocol servers.

    #Databricks AI
    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.