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Releases

Week of June 29, 2026

21 releases between June 29, 2026 and July 5, 2026, 4 of them change something you already run.

GA
4
Preview
3
Update
14
On
AWS 21, Azure 18, GCP 19, SAP 3
  1. Okta support for automatic identity management is now generally available

    Lets you sync users and groups from Okta without SCIM provisioning.

    #Identity management
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP, read it on their docs
  2. Dashboard enhancements and bug fixes

    Imports Power BI and Tableau reports as AI/BI dashboards. Adds STRING_AGG function for concatenating strings.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  3. Genie Agent (formerly Genie Space) enhancements

    Agent mode uses multi-step reasoning for complex questions. Supports local Excel and CSV file uploads.

    #AI/BI#Genie Agents
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. Genie One enhancements and bug fixes

    Adds ontology snippets, document edit timestamps, and links, and fixes scheduled tasks bug.

    #AI/BI#Genie
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. Lakeflow Connect row filtering is now generally available

    Works like a SQL WHERE clause, applies to initial and incremental updates.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. 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)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Google Gemini 3.1 Flash Image and Gemini 3 Pro Image now available as Databricks-hosted models

    Accessible via Foundation Model APIs, requiring customer compliance with applicable terms.

    #Databricks AI
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  9. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. Veeva Vault connector (Beta)

    Ingests standard and custom objects from Veeva using OAuth 2.0 M2M auth.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  11. Anthropic Claude Sonnet 5 now available as a Databricks-hosted model

    Accessible via Foundation Model APIs, requiring compliance with applicable terms.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  12. Lakebase now available in AWS Tokyo region (ap-northeast-1)

    Available in ap-northeast-1, supports Postgres database.

    #Lakebase
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(not on this cloud)
  13. Lakehouse Real-Time (Beta)

    Delivers sub-second SQL read queries against Unity Catalog tables. Built for low-latency workloads.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  14. 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)
  15. Run a subset of job tasks with their dependencies

    Add + modifier to task key to include dependencies, usable via UI, API, or CLI.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  16. Custom Docker images for AI Runtime CLI workloads (Beta)

    Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.

    #Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  17. Databricks Runtime maintenance updates (06/29)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  18. Databricks SQL version 2026.20 is now available in Preview

    Adds IP address functions, NEAREST BY join type, and QUALIFY clause, with fixes for MERGE WITH SCHEMA EVOLUTION.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  19. Genie Code Chat/Agent mode selector removed

    Genie Code now runs exclusively in Agent mode, use prompts to disable autonomous task execution.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Govern LLMs in Unity Catalog with model services (Beta)

    Represents a governed LLM endpoint, sharable across workspaces via Unity Catalog privileges.

    #AI#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  22. Parquet v2 for Delta Lake tables is generally available

    Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  23. SQL alert task in Lakeflow Jobs is now generally available

    Evaluates a Databricks SQL alert as part of a Lakeflow Job, returning its state for downstream tasks.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)