Skip to content

Databricks releases, every cloud

All GAPreviewBehavior changeDeprecationUpdate

19 releases of 1321

Last updated

  1. Automatic change data feed will soon be available in all supported regions Coming soon

    Requires Databricks Runtime 19 or above with row tracking enabled. Replaces manual change data feed setup on tables.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Transactions are now generally available

    Require catalog commits enabled on participating tables. Use BEGIN ATOMIC or BEGIN TRANSACTION syntax.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  3. Variant and Variant shredding are now generally available

    Requires Databricks Runtime 17.3, recommended 18.1 for optimal performance.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  4. Variant will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Ingests semi-structured data from sources like Kinesis and REST APIs. Available in July 2026.

    #Delta Lake#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. Automatic upgrades will roll out more features to existing tables Coming soon

    Adds row tracking and Checkpoint V2 to existing tables.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Protobuf tensor input for custom model serving endpoints (Public Preview)

    Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.

    #Machine Learning#Model Serving
    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. Serve custom LLMs with Custom Model Serving (Beta)

    Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.

    #Machine Learning#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  9. Catalog commits are now generally available

    Enables multi-statement transactions on Unity Catalog managed Delta tables, supported by products like MLflow and Delta Sharing.

    #Delta Lake#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  10. Alibaba Cloud Qwen3.5 122B A10B now available as a Databricks-hosted model in Public Preview

    Accessible via Foundation Model APIs, available in Public Preview.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  11. Multi-table transactions are now in Public Preview

    Requires catalog commits on participating tables, supports Unity Catalog managed Delta tables.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  12. Endpoint telemetry for custom model serving endpoints (Beta)

    Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.

    #Machine Learning#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  13. Function calling and structured output now available using the Alibaba Cloud Qwen3-Next Instruct model (Beta)

    Supports Qwen3-Next 80B A3B Instruct model.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  14. OpenAI GPT 5 models are now generally available in Mosaic AI Model Serving

    Includes GPT-5 mini and nano models.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  15. Alibaba Cloud Qwen3-Next Instruct now available in Beta

    Supports 80B A3B Instruct in us-west-2 and ap-northeast-1 regions via pay-per-token APIs.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  16. Zstd is now the default compression for new managed tables

    Replaces Snappy compression, applies to Databricks Runtime 16.0 and above.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  17. Improved autoscaling behavior for Mosaic AI Model Serving

    Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  18. Mosaic AI Model Serving now supports OpenAI GPT 5 models (preview)

    Supports GPT-5, GPT-5 mini, and GPT-5 nano models for batch inference with AI Functions.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  19. Anthropic Claude Opus 4.1 now available as a Databricks-hosted foundation model

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

    #Model Serving
    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. Route-optimized endpoints now require route-optimized URL path for querying

    Requires route-optimized URL path for querying, standard workspace URL path not supported for new endpoints.

    #Model Serving
    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.