Releasesby GlyphLakebase now supports PCI-DSS and HITRUST
Lakebase is now PCI-DSS and HITRUST compliant for workspaces with the compliance security profile enabled. On AWS, this support is limited to the us-east-1 region. On Azure, all regions where Lakebase is available are supported. See Data protection .
Also shipped Aug 10, 2026Databricks in August 2026 →
BigQuery supports gemini-3.1-flash-lite and gemini-3.5-flash GA models
Both models work in all BigQuery generative AI functions and are available on the us, eu and global multi-regional endpoints.
AI_MULTI_EMBED support for large video files in semantic video search (General availability)
Snowflake Cortex AI_MULTI_EMBED is now generally available for semantic video search with support for large video files up to 6 GB using the TwelveLabs Marengo Embed 3.0 model, enabling organizations to index and search production-grade video content directly in Snowflake.
Amazon S3 Tables Iceberg REST catalog integration (General availability)
Snowflake can now connect directly to the Amazon S3 Tables Iceberg REST endpoint, so you don’t need to create an AWS Glue integration. This capability is now generally available.
Request Access in Workspaces (Preview)
With this preview release, you can resolve access-related SQL errors in Workspaces by submitting access requests directly from Snowsight. When a query fails because of missing privileges and the user can’t self-resolve the issue by switching roles, the user can submit a request with a reason.
Spanner dynamic channel pooling for Go and Java clients is GA
Dynamic channel pooling for gRPC channels prevents issues from under- or over-provisioned channels and reduces configuration overhead in the Go and Java client libraries. It is disabled by default.
Gemini Enterprise: Export user data to a CSV file
Gemini Enterprise administrators can export user data to a comma-separated values (CSV) file to sort, filter, and analyze records offline. This feature is generally available (GA). For more information, see Export user data .
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Lakebase Postgres APIs are now generally available
Programmatic management of Lakebase Postgres is now generally available through the REST API, Databricks CLI, and Databricks SDKs (Python, Java, Go). These interfaces support operations for projects, branches, endpoints, databases, roles, credentials, synced tables, and catalogs. See Lakebase API guide .
Lakebase is enabled by default in compliance security profile workspaces
Lakebase is now enabled by default in workspaces with the compliance security profile , including workspaces that use the HIPAA, C5, or TISAX standard and workspaces that enable the profile without a compliance standard. You no longer need to enable Lakebase in these workspaces. See Data protection .
Postgres minor version updates
Lakebase updated its supported Postgres versions to 16.15, 17.11, and 18.6. These minor releases bring you the latest upstream Postgres fixes and security patches. When a new minor version is available, Lakebase applies it the next time your compute restarts. See Manage updates .
Genie Code is now available in the Lakebase project UI
A new Genie entry in the Lakebase project sidebar opens Genie Code, the agentic Databricks assistant, scoped to your Lakebase project. Ask it in natural language to run multi-step data and AI tasks: explore your databases and tables, investigate and debug issues, and create and populate tables.
LTAP Direct Writes accelerates synced table loads (Beta)
LTAP Direct Writes speeds up how synced tables load into Lakebase. When you create a synced table, Lakebase loads a full copy of your Unity Catalog data into your Postgres branch.
Diagnose and fix Lakebase issues with Genie, using telemetry in Unity Catalog (Beta)
Lakebase adds AI-assisted troubleshooting: database issues and early warnings are surfaced to you with Insights , and you can then investigate and fix them conversationally with Genie . Both draw on database telemetry captured to Unity Catalog. See Observability .
Lakebase now provides a service level agreement (SLA)
Lakebase now provides a Service Level Agreement (SLA), with Monthly Uptime Percentage commitments for endpoints in zone-redundant high availability mode and for single-compute endpoints. For details, see Lakebase SLA .
Lakebase is now SOC 2 Type 2 compliant
Lakebase is now SOC 2 Type 2 compliant. For our SOC reports, please ask your Databricks account team or see Compliance .