Skip to content

Databricks releases, every cloud

All GAPreviewBehavior changeDeprecationUpdate

10 releases of 1340

Last updated

  1. Custom trace views in the MLflow trace explorer are in Beta

    Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.

    #Gen AI#MLflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. 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)
  3. 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)
  4. 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)
  5. MLflow trace storage in Unity Catalog is now in Public Preview

    Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.

    #MLflow#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. 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)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. 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)
  9. 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)
  10. 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)
  11. 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, and every item links to the note it came from. The one-line summaries are ours.

We measure how the site is used. PostHog and Google Analytics, set to measurement only with advertising features off. We do not sell your data or share it for advertising, and you can turn this off. What this stores.