Releasesby GlyphLakebase 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 .
Also shipped Sep 15, 2026Databricks in September 2026 →
Predict dynamic table refresh behavior with EXPLAIN CHANGES (General availability)
You can now use EXPLAIN CHANGES to predict a dynamic table's refresh behavior before it happens, either for a manual refresh or as part of a DDL change, without applying the change.
Horizon Catalog Explorer UI (Preview)
With this release, the Horizon Catalog Explorer is the default experience for browsing Snowflake objects in Snowsight, replacing Database Explorer. The Horizon Catalog Explorer provides consistent navigation and object detail pages while preserving the tabs and actions that you already use.
Embedding Streamlit in Snowflake apps in external pages (General availability)
Embedding Streamlit in Snowflake apps in external pages is now generally available. You can render a container-runtime app inside a page you host, such as a customer portal or an internal dashboard, using a single tag.
Elastic Channels for Snowpipe Streaming (General availability)
Elastic Channels for Snowpipe Streaming are now generally available. Elastic Channels provide one implicit, server-scaled ingestion path per pipe, so concurrent producers can stream directly to Snowflake tables and supported Snowflake-managed Iceberg tables without managing channel names, lifecycle, ordering, or offset tokens.
Cortex AI Gateway (Preview)
We are pleased to announce the preview of Cortex AI Gateway, the control plane where you govern how AI applications and third-party agents in your organization reach models.
Reinforcement learning fine-tuning in the Google Cloud console (Preview)
You can create, monitor, and test reinforcement learning fine-tuning jobs for Gemini models in the Google Cloud console ( Preview ). From the Models > Tuning page, you can configure Python code or model-based reward functions, test reward logic against sample prompts before launching a job, track training and evaluation metrics in real time, and test tuned...
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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.
Lakebase backup schedule API (Beta)
You can now manage Lakebase backup schedules programmatically. The snapshot schedule API lets you read and set a root branch's automated snapshot cadences (daily, weekly, or monthly) and how long each cadence's snapshots are retained. This API is in Beta and available to all Lakebase workspaces. See Create a backup schedule .
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 observability telemetry in system tables (Beta)
Lakebase captures its Postgres observability telemetry into the system.lakebase system tables, with no configuration to create and no destination to choose. Query plans, session history, wait events, schema-change history, database and compute health, and Postgres logs land there, and records are retained for 7 days.
ai_search can search Lakebase synced tables (Beta)
The ai_search function can now retrieve from Lakebase synced tables with Lakebase Search enabled, in addition to AI Search indexes. Add a lakebase_search knowledge source to search a Lakebase synced table, or combine it with vector_search sources in the same call. This feature is in Beta . See ai_search function .
Lakebase Search adds a configurable text tokenizer for keyword search
The new lakebase_tokenizer extension lets you control how Lakebase Search turns text into search terms, so keyword search matches the way your data and users actually read. Native PostgreSQL full-text search gives you little control over this step.
Supported Postgres extensions updated to new versions
The following supported Postgres extensions are now available at newer versions. Existing installations keep their current version until you update them with ALTER EXTENSION .
LTAP Direct Writes is generally available
LTAP Direct Writes is now generally available. It speeds up how synced tables load into Lakebase by writing the initial load and full refreshes directly to the storage layer instead of through your compute endpoint, so large loads finish faster without competing with your queries.