Releasesby GlyphPostgres 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 .
Also shipped Aug 24, 2026Databricks in August 2026 →
BigQuery data agent monitoring with Google Cloud Observability in preview
Teams can monitor the performance, adoption, latency and costs of BigQuery data agents and their conversations using Google Cloud Observability.
Gemini Enterprise: D&B Commercial Graph data store (Preview)
The D&B Commercial Graph data store is available in Public Preview in Gemini Enterprise. You can connect D&B Commercial Graph to search and import company data using natural language. For more information, see Connect D&B Commercial Graph .
Gemini Enterprise: Cloud Monitoring observability for data connectors
Cloud Monitoring telemetry for Gemini Enterprise data connectors (also referred to as data stores) has been updated with support for new metric dimensions and a new latency metric: The discoveryengine.googleapis.com/dataconnector/request_count count metric has been updated to include three new dimensions: tool_id (the identifier of the connector tool...
GLM 5.2 is available in Public Preview
GLM 5.2 from Z.ai is available as a fully managed model (MaaS) in Model Garden. The model targets long-horizon agentic and coding tasks and supports a 1M-token context window. For more information, see GLM 5.2 .
Environment variables now use Config and Secret types
When you add or edit an environment variable in Vercel, you now choose Config or Secret instead of using the Sensitive toggle. Existing variables marked Sensitive are automatically treated as Secrets and continue to work without migration. Config: The value remains readable after saving for members with access.
Bun runtime now supports large functions and extended max duration
The Bun runtime on Vercel Functions now supports larger package sizes up to 5GB uncompressed and extended max duration for up to 30 minutes, two betas that previously ran on Node.js and Python only.
More from LakebaseEvery Lakebase release →
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.
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 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 .
Lakebase now supports PCI-DSS and HITRUST in all AWS regions
Lakebase is now PCI-DSS and HITRUST compliant in all AWS regions where it is available, for workspaces with the compliance security profile enabled. Previously, this support was limited to the us-east-1 region on AWS. See Data protection .
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 .
Lakebase snapshots API (Beta)
You can now manage Lakebase snapshots programmatically. The snapshots API lets you create, get, list, and delete point-in-time snapshots of a project branch, and restore a snapshot by creating a new branch from it. This API is in Beta. See Create a snapshot .
Lakebase Search is generally available
Lakebase Search is now generally available. It brings scalable vector and keyword search to Lakebase projects through two Postgres extensions, so you can run semantic and exact-term search in a single database without a separate search stack: lakebase_vector adds the lakebase_ann index type for approximate nearest-neighbor vector search.