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.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- Genie One is now available in Google Sheets
Queries governed data in natural language, importing results as native rows and columns.
- Genie One is now available in Microsoft Excel
Queries governed data in natural language, importing results as native rows and columns.
- 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) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- 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.
- 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.
- 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) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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) - 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.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Select tables and create pivot tables in Google Sheets
Imports data via Databricks Connector, selecting from Catalog Explorer.
- New GCP regions support serverless compute
Available in me-central1 and southamerica-east1 regions.
- 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 workspaces are now available in new GCP regions
Available in most GCP regions, see documentation for list.
- 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.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.