Databricks releases, every cloud
- Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.
- The Databricks Excel Add-in is now generally available
Connects Excel to Databricks workspace for querying and data import. Enables live query for pivot tables.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)
Replaces server hostname with workspace URL for connection.
- JAR tasks on serverless compute are now generally available
Requires matching Scala, Java Development Kit, and Databricks Connect versions.
- Genie One is now available in Google Sheets
Queries governed data in natural language, importing results as native rows and columns.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Genie One is now available in Microsoft Excel
Queries governed data in natural language, importing results as native rows and columns.
- 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.
- Agentic code converter is in Beta
Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - July 6, 2026
Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Reorganized Spark Declarative Pipelines on Lakeflow documentation
Conceptual topics are now under Concepts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Write data from Microsoft Excel back to Databricks
Writes to Unity Catalog tables, overwriting existing ones if needed.
- Workspace admin setting for serverless notebook execution timeout
Replaces manual override process, defaults to 2.5 hours.
- Configure Microsoft Entra ID SSO for Power BI (Public Preview)
Uses account-level federation policy, replacing manual config.
- Databricks Add-in for Excel support for all compliance security profile standards
Supports all Databricks compliance security profiles. Requires Public Preview.
- View run history for scheduled refreshes in Google Sheets
Shows Run ID, start time, and success status for each run.
- Version 18.2
Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - HIPAA support for the Databricks Add-in for Excel
Available for workspaces with HIPAA compliance across all supported regions.
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- Faster package installs with %uv pip in serverless notebooks
Requires environment version 5 or above. Replaces %pip for faster installs.
- Databricks Excel Add-in requires workspace preview enablement
Enabled from the Previews page by a workspace admin.
- 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.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Version 18.1
Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Connect Lovable apps to Databricks
Uses REST API and OAuth machine-to-machine authentication.
- Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- Databricks Connector for Google Sheets updates
Longer query execution timeout and UI improvements added.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks JDBC driver 2.8.0 is available
Replaces Log4j with SLF4J 2.0.13, enables telemetry by default.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Connect to Databricks from Microsoft Excel (Public Preview)
Imports data from tables or Metric Views, executes SQL queries in Excel.
- Schedule data refreshes in Google Sheets (Public Preview)
Refreshes occur hourly, daily, or weekly.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Version 18.0
Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.
- Serverless environment version 5 is now available
Includes CPU and GPU versions.
- Select tables and create pivot tables in Google Sheets
Imports data via Databricks Connector, selecting from Catalog Explorer.
- Serverless workspaces are now generally available
Come pre-configured with serverless compute and default storage.
- 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.
- Login required to download ODBC driver
Requires login and license acceptance, except for AWS GovCloud which needs account team access.
- Serverless notebook tasks can now use jobs environment
Replaces inherited serverless environment with configurable job environment.
- Serverless compute has been updated to version 17.3
Updated from version 17.2, requires no configuration changes.
- 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.
- 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.
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