Releasesby GlyphAnysphere Audit Logs connector (Beta)
The Anysphere Audit Logs connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector uses the Anysphere (Cursor) Admin API to incrementally ingest team audit-log events into Databricks. Authentication uses a Cursor Admin API key. See Anysphere Audit Logs connector .
Also shipped Aug 25, 2026Databricks in August 2026 →
BigQuery data governance tags are supported in Terraform
BigQuery data governance tags are supported in Terraform. This feature is in Preview .
Multi-value tags (General availability)
With this release, multi-value tags are generally available. You can assign more than one string value to the same tag.
Remote app operations for Snowflake Native Apps (Preview)
Remote app operations are now available in public preview for Snowflake Native Apps. Providers can perform on-demand operations on consumer apps, including running SQL statements ( run_sql ), retrying a failed upgrade ( retry_upgrade ), and disabling/enabling the app ( disable / enable ), all through a new system function SYSTEM$REMOTE_APP_OPERATION .
Remote Development with the Snowflake Extension for Visual Studio Code (Preview)
Remote Development with the Snowflake Extension for Visual Studio Code is now available in public preview.
Stable egress IP addresses on Azure (Preview)
Stable egress IP addresses are now available in preview on Azure. You can generate Snowflake egress IP address ranges (as CIDR addresses) and add them to an external server's allowlist so that Snowflake can make requests to that server.
General availability: Bring Your Own Cloud (BYOC)
BYOC is now generally available and recommended for production usage on the Enterprise plan, across AWS, GCP, and Azure. BYOC runs the Pinecone data plane inside your own cloud account, so your vectors, metadata, and queries stay in your environment.
More from LakeflowEvery Lakeflow release →
Zerobus Ingest into streaming tables is now generally available
Ingesting into streaming tables with Zerobus Ingest in Lakeflow Connect is now generally available. Writing to a streaming table works the same way as writing to a managed Delta table, with the same limits and quotas. See Create or identify the target table .
Verkada connector (Beta)
The Verkada connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests organization audit logs and access users from your Verkada organization into Databricks. Authentication uses a Verkada organization API key. See Verkada connector .
Lakeflow Designer August Release
The Lakeflow Designer August release adds the Unique operator, expands the Aggregate, Select, and Python operators, and improves the canvas, preview, and version-history experience.
Atlassian Audit Logs connector (Beta)
The Atlassian Audit Logs connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests organization audit log events, such as user, security, and configuration changes, from Atlassian into Databricks. Authentication uses an Atlassian organization API key.
Default Python package repositories are GA for Lakeflow pipelines and classic compute
Configuring default Python package repositories is now generally available for Lakeflow pipelines and for classic compute created via the UI and API. Workspace admins can set private or authenticated registries as the workspace default for these workloads. See Configure default package repositories .
Salesforce connector mTLS authentication is now generally available
Mutual TLS (mTLS) authentication for the Salesforce connector in Lakeflow Connect is now generally available. With mTLS, Databricks and Salesforce exchange and verify client certificates to establish two-way trust, combined with the OAuth client credentials flow. Choose it for API-only users or when your organization requires mTLS.
Performance mode now applies to materialized view and streaming table refreshes from dbt tasks
The job-level performance mode setting now propagates to materialized view and streaming table refreshes triggered by dbt tasks. You can set these jobs to Standard mode to optimize for cost, or keep the default Performance-optimized mode for faster startup. Previously, dbt tasks always ran refreshes in Performance-optimized mode.
Pipeline events system table is in Beta
The pipeline_events system table is in Beta . This table records Lakeflow pipelines event log entries for pipelines in your account, capturing lifecycle transitions, flow progress, data quality metrics, errors, and other operational data across all pipelines and workspaces in a region.