Releasesby GlyphWorkiva connector (Beta)
The Workiva connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests audit activity, users, and roles from your Workiva organization into Databricks. Authentication uses Workiva OAuth2 client credentials. See Workiva connector .
Also shipped Aug 14, 2026Databricks in August 2026 →
Trust Center violation findings remediation (General availability)
The following Trust Center findings remediation capabilities are now generally available:
Gemini Enterprise: Gemini 3.7 Flash available in the mobile app
Gemini 3.7 Flash is generally available (GA) in the Gemini Enterprise mobile app. Mobile app users can select and use the Gemini 3.7 Flash model for their conversations within the app. To make the model available, administrators must turn on the Gemini 3.7 Flash feature toggle in the Google Cloud console.
Announcing: Azure Databricks Runtime 10.4 LTS will reach end of life on November 1, 2026
Azure Databricks Runtime 10.4 LTS, a Databricks-managed runtime available on Azure Databricks, reached end of support on March 18, 2025 and will reach end of life on November 1, 2026. After this date, Databricks Runtime 10.4 LTS will no longer be availabl
GitHub Copilot weekly releases , August 10
From new models and portable plugins to smoother agent workflows, this week’s updates make GitHub Copilot more flexible across editors, the command line, and the Copilot app. GitHub Copilot, general Kimi K3 is rolling out to Copilot Pro, Pro+, Max, Business, and Enterprise plans.
MotherDuck CLI in preview
The motherduck CLI lets users authenticate, run SQL queries, and build Dives and Flights from the terminal, with table, JSON, or CSV output for scripting and automation.
Preview Toolbar Improvements
Open-in-new-tab is now promoted to the preview toolbar, exposed ports moved into an overflow menu, and share/open-in-new-tab now follow the page currently being viewed.
More from LakeflowEvery Lakeflow release →
SQL alert task in Lakeflow Jobs is now available by default for workspaces with the compliance security profile enabled
The SQL alert task in Lakeflow Jobs now supports all compliance security profile standards that Databricks supports and is available by default for workspaces with the compliance security profile enabled. Use the task to evaluate a Databricks SQL alert as part of a Lakeflow Job.
SendGrid connector (Beta)
The SendGrid connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests the SendGrid subuser directory and IP access-management activity for the parent account and each subuser into Databricks.
Gmail connector in Lakeflow Connect (Beta)
You can now ingest data from a Gmail mailbox into Databricks using the managed Gmail connector in Lakeflow Connect. The connector ingests messages, labels, drafts, filters, and profile data using a Google service account, and syncs the messages and message_labels tables incrementally through the Gmail History API. This feature is in Beta .
Google Search Console connector is available in Beta
The managed Google Search Console connector is now available in Beta in Databricks Lakeflow Connect. Use it to ingest search performance data, site metadata, and sitemap information from Google Search Console into Databricks.
Glean connector in Lakeflow Connect (Beta)
You can now ingest data from Glean into Databricks using the managed Glean connector in Lakeflow Connect. The connector ingests company-wide usage insights for search, Assistant, and agents, along with the shortcuts (go links) defined in your Glean deployment, using a Glean Client API token. This feature is in Beta . See Glean connector .
Amplitude connector (Beta)
The Amplitude connector in Lakeflow Connect is now in Beta. Ingest product analytics event data along with event, cohort, and annotation metadata from Amplitude. See Amplitude connector .
Session restore for serverless jobs is now in Beta
Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the job. Databricks automatically captures a state snapshot when an eligible run fails, runs 30 minutes or longer, or is cancelled, and keeps it for 7 days after the run completes.
REPLACE USING flows for standalone streaming tables (Beta)
REPLACE USING flows are now available for standalone streaming tables in Beta . Use a REPLACE USING flow when your source is a series of partial snapshots keyed by column. On each update, the flow replaces all rows that match the specified key columns and leaves all other rows unchanged.