May 2026
These features and Databricks platform improvements were released in May 2026.
Releases are staged. Your Databricks account might not be updated until a week or more after the initial release date.
Databricks Runtime maintenance updates (05/13)
May 13, 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 18.2
- Databricks Runtime 18.1
- Databricks Runtime 18.0
- Databricks Runtime 17.3 LTS
- Databricks Runtime 16.4 LTS
- Databricks Runtime 15.4 LTS
- Databricks Runtime 14.3 LTS
- Databricks Runtime 13.3 LTS
App telemetry for Databricks Apps is now in Public Preview
May 11, 2026
You can now collect traces, logs, and metrics from your Databricks Apps and persist them to Unity Catalog tables using the OpenTelemetry (OTel) protocol. See Configure telemetry for Databricks Apps.
HIPAA support for the Databricks Add-in for Excel
May 11, 2026
The Databricks Add-in for Excel (Public Preview) is now available for workspaces with HIPAA compliance across all supported regions. See Connect to Databricks from Microsoft Excel.
HubSpot connector (GA)
May 11, 2026
The managed HubSpot connector in Lakeflow Connect is now generally available. The connector allows you to ingest data from HubSpot Marketing Hub into Databricks. See HubSpot connector.
Catalog commits are now generally available
May 8, 2026
Catalog commits are now generally available. Catalog commits expand Unity Catalog managed table interoperability, strengthen Unity Catalog governance capabilities, and unlock new features such as multi-statement, multi-table transactions. When catalog commits are enabled on a Unity Catalog managed Delta table, Unity Catalog becomes the table's system of coordination, brokering access and state across engines. Products that read or write to Unity Catalog managed tables now support catalog commits, including streaming tables, Delta Sharing, Zerobus, Lakeflow Connect, Unity AI Gateway, MLflow, and Lakeflow Jobs triggers. See Catalog commits.
Faster package installs with %uv pip in serverless notebooks
May 7, 2026
You can now use the %uv pip magic command in serverless notebooks on environment version 5 or above as a faster alternative to %pip for Python package management. %uv pip is powered by the uv package manager and shares the same notebook virtual environment as %pip.
See Faster installs with %uv pip.
Standalone pipelines on serverless general compute (Beta)
May 7, 2026
Standalone pipelines, including materialized views and streaming tables, can now be created from a notebook running on serverless general compute. Standalone pipelines (renamed from pipelines on Databricks SQL) can be created using SQL or Python. Standalone pipelines are in Beta. See Requirements for standalone pipelines.
Outlook managed ingestion connector (Beta)
May 5, 2026
The Outlook connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest email data from Microsoft Outlook into Databricks. See Outlook connector.
GitHub managed ingestion connector (Beta)
May 5, 2026
The GitHub connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest data from GitHub into Databricks. See GitHub connector.
Automatic identity management
May 5, 2026
Automatic identity management lets you sync users and groups from your identity provider to Databricks. Search for identities in identity federated workspaces and add them to your workspace. Group memberships stay in sync with your identity provider. Microsoft Entra ID is in Public Preview and supports service principals and nested groups. Okta support is in Private Preview. See Automatic identity management.
Smartsheet managed ingestion connector (Beta)
May 5, 2026
The Smartsheet connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest data from Smartsheet into Databricks. See Smartsheet connector.
Databricks Runtime 18.2 is now GA
May 4, 2026
Databricks Runtime 18.2 is now generally available. See Databricks Runtime 18.2 and Databricks Runtime 18.2 for Machine Learning.
Lakeflow Pipelines Editor is now generally available
May 4, 2026
The Lakeflow Pipelines Editor is now generally available. The editor offers an agent-first experience with Genie Code for creating, updating, and debugging production pipelines, with your code and Genie Code chat side by side with the pipeline graph and metrics. See Develop and debug ETL pipelines with the Lakeflow Pipelines Editor.
Native data profiling for notebook results tables
May 1, 2026
You can now view profiling statistics for columns in notebook results tables. From a results table, select column headers and click 
Open selection details to view profiling statistics. This feature is also available in the new Databricks SQL editor. See Select data.
Community connectors (Beta)
May 1, 2026
Open-source connectors extend Lakeflow Connect to sources without managed connector support. They're built and maintained by the community. Use a registered connector or create your own. See Community connectors in Lakeflow Connect.