March 2026 platform release notes
These features and SAP Databricks platform improvements were released in March 2026. The cloud the release applies to is indicated for each release note.
Releases are staged. Your SAP Databricks account might not be updated until a week or more after the initial release date.
SAP Databricks Connector for Google Sheets updates
March 30, 2026 | Applies to: 
AWS GCP Azure
The SAP Databricks Connector for Google Sheets has been updated with a longer query execution timeout, UI improvements, and additional scheduled refresh limitations.
ai_classify and ai_extract now support v2 signatures (Preview)
March 27, 2026 | Applies to: AWS GCP Azure
The ai_classify and ai_extract AI Functions now support new v2 signatures with improved quality and performance, greater flexibility, and native composability with ai_parse_document to power end-to-end document processing workflows.
Dynamic parameters in the new SQL editor
March 24, 2026 | Applies to: AWS GCP Azure
The new SQL editor now supports a Dynamic dropdown widget type for named parameter markers. Select a saved query to populate dropdown values, keeping the list current as your data changes.
AI Runtime is now in Preview
March 19, 2026 | Applies to: AWS GCP Azure
Designed for deep learning workloads, AI Runtime brings GPU support to SAP Databricks serverless compute. AI Runtime for single-node tasks is now in Preview.
SAP Databricks JDBC driver 2.8.0 is available
March 18, 2026 | Applies to: AWS GCP Azure
SAP Databricks JDBC driver version 2.8.0 is now available for download. New features include SLF4J upgrade from 1.7.36 to 2.0.13, Log4j dependency removal, and EnableTelemetry is now on by default.
SAP Databricks usage dashboard is now generally available
March 18, 2026 | Applies to: AWS GCP Azure
The usage dashboard is now generally available. Account admins can import customizable, pre-built usage dashboards to monitor their SAP Databricks usage at the account and workspace levels.
Search in metric views fix
March 17, 2026 | Applies to: AWS GCP Azure
Searching for measures and dimensions in the metric view overview page now returns correct results across paginated results and supports filtering by display name.
Databricks Asset Bundles is now DABS
March 16, 2026 | Applies to: AWS GCP Azure
Databricks Asset Bundles has been renamed to DABS.
ABAC policy functions now use snake_case naming
March 13, 2026 | Applies to: AWS GCP Azure
ABAC policy tag functions now use snake_case naming (has_tag, has_tag_value, has_column_tag, has_column_tag_value), consistent with other SAP Databricks SQL built-in functions. The camelCase forms continue to work for backward compatibility, but SAP Databricks plans to deprecate them. SAP Databricks recommends updating any new policies to use the snake_case forms.
Health indicators for tables in Catalog Explorer (Preview)
March 13, 2026 | Applies to: AWS GCP Azure
You can now view health indicators for tables on schema and table overview pages in Catalog Explorer. Health indicators show a summary of each table's freshness and completeness status based on anomaly detection.
Automatic deletion of empty vector search endpoints
March 13, 2026 | Applies to: AWS GCP Azure
Vector search endpoints are now only charged after an index has been created, and 24 hours after the last index is deleted from the endpoint, the endpoint no longer incurs any charges.
Data quality monitoring documentation moved to Data governance
March 12, 2026 | Applies to: AWS GCP Azure
The Data quality monitoring documentation has moved from Data guides to the Data governance (Unity Catalog) chapter.
New Lakebase instances are created as Autoscaling projects by default
March 12, 2026 | Applies to: AWS Azure
New Lakebase instances are now created as Lakebase Autoscaling projects by default. This default behavior applies when you create new instances using the UI, Database instance API, Terraform, or SDKs. Existing Provisioned instances are unchanged and keep their current connection strings and behavior.
Lakebase Autoscaling updates
March 12, 2026 | Applies to: AWS Azure
Lakebase Autoscaling now includes OAuth roles (create using UI or REST API, in addition to SQL) and budget policies and tags (associate a serverless budget policy and add custom tags for cost attribution).
Multi-table transactions are now in Preview
March 9, 2026 | Applies to: AWS GCP Azure
You can now group multiple SQL statements across multiple tables into a single atomic transaction using BEGIN ATOMIC ... END; syntax. All changes succeed together or roll back together, ensuring data consistency across your operations. Multi-table transactions require catalog-managed commits enabled on participating tables and are supported on Unity Catalog managed Delta tables.
Lakebase is now generally available with compliance security profile
March 4, 2026 | Applies to: AWS Azure
Lakebase is now generally available for workspaces with the compliance security profile when the compliance standard is set to HIPAA, C5, TISAX, or None.
Notebook tagging (Preview)
March 2, 2026 | Applies to: AWS GCP Azure
You can now apply tags to notebooks to organize and categorize them for easier management. Notebooks also support governed tags, including certification and deprecation system tags, to indicate trust levels or lifecycle status directly within the notebook interface.
Lakebase Autoscaling now includes high availability
March 2, 2026 | Applies to: AWS Azure
Lakebase Autoscaling now includes high availability. High availability provides automatic failover from your primary compute instance to secondary compute instances distributed across availability zones, with no connection string changes required.
Lakebase Autoscaling now available in three additional regions
March 2, 2026 | Applies to: AWS
Lakebase Autoscaling is now available in three additional regions: ca-central-1 (Canada Central), eu-west-2 (Europe – London), sa-east-1 (South America – São Paulo).
Lakebase is now generally available on Azure
March 2, 2026 | Applies to: Azure
Lakebase is now generally available on Azure with autoscaling compute, scale-to-zero, branching, and instant restore.
Schedule data refreshes in Google Sheets (Preview)
March 2, 2026 | Applies to: AWS GCP Azure
You can now schedule automatic data refreshes in the SAP Databricks Connector for Google Sheets on an hourly, daily, or weekly basis.
Connect to SAP Databricks from Microsoft Excel (Preview)
March 2, 2026 | Applies to: AWS GCP Azure
The new SAP Databricks Excel Add-in is in Preview and allows you to connect Microsoft Excel to your workspace, import data from tables or Metric Views, execute SQL queries, and analyze data directly in Excel.
Tree view of the workspace browser side panel (Preview)
March 5, 2026 | Applies to: AWS GCP Azure
The workspace browser side panel now includes a tree view that provides a flexible, tree-based view of your workspace folder hierarchy. The tree view allows you to expand descendant folders, change the root of the tree, and navigate your workspace while keeping the tree steady.