Releasesby GlyphREPLACE 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.
Also shipped Aug 11, 2026Databricks in August 2026 →
Query templates for data clean rooms are generally available (GA)
Query templates for data clean rooms are generally available (GA). Query templates allow data clean room owners and publishers to share predefined queries without exposing the underlying tables and views. Additionally, table parameters in table-valued functions (TVFs) are generally available (GA).
Gemini Enterprise: New data stores and support for new actions (Public Preview)
The following data stores are available in Public Preview in Gemini Enterprise: Cisco Workspaces Fibery Gong Guru Hex LegalZoom Mercury Miro Ramp Solve Intelligence Vanta Webex Meetings You can search and read data from these data stores using natural language.
Gemini Enterprise: Manage overages, spend limits, and costs for invoiced Cloud Billing accounts
If your project has an invoiced Cloud Billing account and at least one active, non-free-trial subscription, administrators can enable overages, configure monthly spend limits, and monitor feature usage and costs in Gemini Enterprise: Enable overages : Allow users to continue using features at pay-as-you-go rates after reaching pooled quotas.
Compliance API returns local Cowork and Claude Code session transcripts in beta
New GET /v1/compliance/apps/sessions/local endpoints list sessions that run on users' machines, fetch session metadata and return transcripts for Claude Enterprise organizations, using the existing Compliance Access Key.
GitHub Enterprise Server 3.22 release candidate
GitHub Enterprise Server (GHES) 3.22 is now available and introduces new capabilities across the platform. Here are a few highlights in the 3.22 release: Administrators can configure Copilot CLI to work with GHES for enterprises that operate in disconnected or air-gapped environments without connectivity to GitHub Cloud.
Upcoming deprecation of MAI-Code-1-Flash
With the launch of MAI-Code-1.1-Flash , we will deprecate MAI-Code-1-Flash across all GitHub Copilot experiences on September 10, 2026: Model Deprecation date Suggested alternative MAI-Code-1-Flash 9-10-2026 MAI-Code-1.1-Flash Please update your workflows and integrations to use the new model before September 10.
More from LakeflowEvery Lakeflow release →
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 .
Notion connector (Beta)
The managed Notion connector in Lakeflow Connect is now available in Beta. The connector ingests pages, data sources, databases, blocks, comments, and users from Notion into Databricks. See Notion connector .
Orchestrate continuous pipelines with continuous jobs
You can now run a continuous Lakeflow pipeline with a continuous job. When a continuous job orchestrates a pipeline, the job determines the execution mode, and the pipeline can use job-level features such as serverless Standard performance mode and additional notification destinations.
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 .