Databricks on AWS GovCloud release notes 2026
The following platform features, improvements, and fixes were released on Databricks on AWS GovCloud in 2026.
Releases are staged. Your Databricks account might not be updated with a new feature until a week or more after the initial release date.
February 2026
Data Science Agent (Public Preview)
February 10, 2026
Agent Mode for Databricks Assistant is now in Public Preview in AWS GovCloud and AWS GovCloud DoD. In Agent Mode, the Assistant can orchestrate multi-step workflows from a single prompt.
The Data Science Agent is custom-built for data science workflows and can build an entire notebook for tasks like EDA, forecasting, and machine learning from scratch. Using your prompt, it can plan a solution, retrieve relevant assets, run code, use cell outputs to improve results, automatically fix errors, and more.
See Use the Data Science Agent.
Applying filters, masks, tags, and comments to pipeline-created datasets is now GA
February 5, 2026
Using CREATE, ALTER, or the Lakeflow UI to modify ETL and ingestion pipelines (Lakeflow Spark Declarative Pipelines and Lakeflow Connect) is now GA. You can modify pipelines to apply row filters, column masks, table and column tags, column comments, and (for materialized views only) table comments.
See ALTER STREAMING TABLE and ALTER MATERIALIZED VIEW. For general information about using ALTER with Lakeflow Spark Declarative Pipelines, see Use ALTER statements with pipeline datasets.
Default SQL warehouse settings (General Availability)
February 5, 2026
Default SQL warehouse settings are now generally available. Workspace administrators can set a default SQL warehouse that is automatically selected in SQL authoring surfaces, including the SQL editor, AI/BI dashboards, AI/BI Genie, Alerts, and Catalog Explorer. Individual users can also override the workspace default by setting their own user-level default warehouse. See Set a default SQL warehouse for the workspace and Set a user-level default warehouse.
Select tables and create pivot tables in Google Sheets
February 3, 2026
You can now directly select Databricks tables from the Catalog Explorer and import data as pivot tables in Google Sheets using the Databricks Connector. See Connect to Databricks from Google Sheets.
January 2026
Trigger on update for pipelines (GA)
January 30, 2026
TRIGGER ON UPDATE is now generally available. Use trigger on update in Databricks SQL when creating a pipeline schedule to refresh the pipeline when a source table changes.
See Trigger on update for more information.
View and restore your recent workspace tab sessions
January 30, 2026
You can now view your past workspace tab sessions and restore them. See Switch between authoring contexts.
Paste images into notebooks
January 30, 2026
You can now copy images from your local file system and paste them into Markdown cells in Databricks notebooks using ⌘ + V (Mac) or Ctrl + V (Windows). See Display images.
Databricks One is generally available
January 22, 2026
Databricks One is now generally available in AWS GovCloud and AWS GovCloud DoD. Databricks One is a simplified user interface designed for business users, providing a single, intuitive entry point to interact with data and AI in Databricks without requiring technical knowledge of compute resources, queries, models, or notebooks. Using Databricks One, business users can view and interact with dashboards, ask data questions in natural language using Genie, and use custom-built Databricks Apps that combine analytics, AI, and workflows. See What is Databricks One?.
You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs
January 20, 2026
Serverless jobs now support custom base environments defined with YAML files for Python, Python wheel, and notebook tasks. For notebook tasks, you can either select a custom base environment in the job's environment configuration or use the notebook's own environment settings, which support both workspace environments and custom base environments.
For more information, see Manage serverless workspace base environments.
Budgets are now avaliable
January 20, 2026
Budgets enable you to monitor usage across your account. You can set up budgets to either track account-wide spending, or apply filters to track the spending of specific teams, projects, or workspaces. See Create and monitor budgets.
Databricks Runtime 18.0 is now GA
January 15, 2026
Databricks Runtime 18.0 is now generally available. See Databricks Runtime 18.0 and Databricks Runtime 18.0 for Machine Learning.
Foundation Model APIs pay-per-token support is now generally available
January 14, 2026
Foundation Model APIs pay-per-token support with Cloud Sonnet 4.5 is now generally available on both the Databricks for AWS GovCloud and Databricks for AWS GovCloud DoD environments.
Key capabilities include:
- Claude Sonnet 4.5 support: Deploy Anthropic's latest model directly within your Databricks workspace.
- Familiar interfaces: Use either the AI Playground or the Databricks CLI to experiment and deploy seamlessly.
- AI Gateway integration: Rate limiting, usage monitoring, and system table logging help you govern and optimize model usage across your organization.
AI Gateway-enabled inference tables and the ai_query function are not supported.
See Supported foundation models on Mosaic AI Model Serving.
Databricks Assistant and AI/BI Genie are now generally available
January 14, 2026
Databricks Assistant and AI/BI Genie are now generally available on Databricks on AWS GovCloud. These AI-powered features help users work more efficiently with data:
- Databricks Assistant provides AI-powered code completion, explanations, and debugging help directly in notebooks, files, and the SQL editor. See What is Databricks Assistant?.
- AI/BI Genie allows business users to explore data using natural language queries in Genie spaces. See What is an AI/BI Genie space.
Both features are supported in Databricks for AWS GovCloud and Databricks for AWS GovCloud DoD environments. For more information about feature availability, see Feature availability.
Databricks Runtime maintenance updates
January 9, 2026
New maintenance updates are available for supported Databricks Runtime versions. These updates include bug fixes, security patches, and performance improvements. For details, see:
- Databricks Runtime 17.3 LTS
- Databricks Runtime 17.2
- Databricks Runtime 17.1
- Databricks Runtime 16.4 LTS
- Databricks Runtime 15.4 LTS
- Databricks Runtime 14.3 LTS
- Databricks Runtime 13.3 LTS
- Databricks Runtime 12.2 LTS
Automatic email notifications for expiring personal access tokens (GA)
January 6, 2026
Automatic email notifications for expiring personal access tokens are now generally available. For more information, see Set the maximum lifetime of new personal access tokens.