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41 releases of 1321

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  1. Standard performance mode is now available for one-time runs in the Jobs API

    Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.

    #Lakeflow#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Environment version 6 is now available

    Supports serverless and standard classic compute.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

    #Lakeflow#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Serverless compute access control is now generally available

    Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

    #Compute#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. July 6, 2026

    Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Solution Accelerators in Databricks Marketplace are now published as apps or notebooks

    They are now categorized as apps or notebooks, with unchanged content.

    #Marketplace
    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. Install third-party apps from Databricks Marketplace

    Installs apps directly in Unity Catalog-governed workspaces, keeping provider code closed-source.

    #Marketplace
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  9. Use Universal Commits to purchase Marketplace partner products

    Up to 10% of Universal Commits can be used for third-party products.

    #Marketplace
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

    #Documentation#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  11. Genie Code now supports auto-approve for tool actions

    Approves tool actions without prompts, using an AI classifier to block risky ones.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  12. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

    #Admin#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  13. Version 18.2

    Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  14. Faster package installs with %uv pip in serverless notebooks

    Requires environment version 5 or above. Replaces %pip for faster installs.

    #Notebooks#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  15. Workspace base environments are now generally available

    Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.

    #Admin#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  16. Version 18.1

    Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  17. Sample Data Explorer is generally available

    Lets you ask questions about Unity Catalog tables using natural language, returning SQL queries.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  18. Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon

    Deletes now retain associated tables by default, set cascade=true to remove them.

    #API#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  19. Databricks Marketplace listing creation wizard

    Guides setup of general info, data assets, and attributes in separate steps.

    #Marketplace
    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. Workspace skills for Genie Code are now available

    Workspace admins can create shared skills for machine learning pipelines and domain-specific processes.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  22. Databricks Documentation site table of contents tabs

    Replaces static sidebar with tabbed navigation, includes 6 context tabs.

    #Documentation
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  23. Databricks Assistant is now Genie Code

    Adds autonomous multi-step data tasks, replaces Databricks Assistant.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  24. Version 18.0

    Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  25. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  26. Change to use_case field in VPC endpoint API responses Coming soon

    Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.

    #API
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  27. Connect Databricks Assistant to MCP servers

    Connects to external tools and data sources through MCP servers, requiring permission to use added servers.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  28. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

    #Serverless#Workspace
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  29. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

    Defined with YAML files, they support Python, Python wheel, and notebook tasks.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  30. Create skills for Databricks Assistant

    Extends Databricks Assistant with domain-specific tasks, following the open Agent Skills standard.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  31. Databricks Assistant Agent mode is now in Public Preview

    Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  32. List MCP servers in Databricks Marketplace (Public Preview)

    Lets users install MCP servers to connect AI agents to external data sources.

    #Marketplace
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  33. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  34. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  35. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  36. The Data Science Agent can now also use models served through Anthropic on Databricks

    Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled.

    #Assistant
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  37. Notebook improvements

    Cell execution minimap appears in right margin, supports up to 100MB notebooks.

    #Assistant#Notebook
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  38. Databricks Assistant Agent mode: Data Science Agent is in Beta

    Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.

    #Assistant#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  39. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

    #Notebooks#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  40. Databricks Assistant integrated with compute

    Creates compute resources, pools, and policies, and answers questions about them. Available on some compute pages.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  41. Databricks-hosted models for Assistant are now GA

    Available on all cloud platforms at no extra cost.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  42. Databricks Assistant: User and workspace instructions now available

    Custom instructions can be added by users or admins, applying to all Assistant experiences.

    #Assistant#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)

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