Lakebase release notes

This page lists new features, improvements, and behavior changes for Lakebase, the fully managed Postgres database on Databricks.

For an overview of Lakebase, see Lakebase Postgres.

注記

Releases are staged. Your Databricks account might not be updated until a week or more after the initial release date.

Supported Postgres extensions updated to new versions

September 30, 2026

The following supported Postgres extensions are now available at newer versions. Existing installations keep their current version until you update them with ALTER EXTENSION.

• postgis, postgis_raster, postgis_sfcgal, postgis_tiger_geocoder, postgis_topology, address_standardizer, and address_standardizer_data_us: updated to 3.3.10 on Postgres 16, 3.5.7 on Postgres 17, and 3.6.4 on Postgres 18.
• hll: updated to 2.21 on Postgres 16, 17, and 18.

See Update an extension version.

Lakebase Search adds a configurable text tokenizer for keyword search

September 28, 2026

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. lakebase_tokenizer adds a configurable whole-word tokenizer through PostgreSQL's standard text-search dictionary interface, with the controls that matter for relevance:

• Normalization: lowercase text, apply Unicode normalization for byte-stable matching, and strip accents so café matches cafe.
• Stopwords and synonyms: manage your own stopword and synonym lists in SQL, so terms like usa and united_states match the same rows.
• Stemming and possessives: reduce words to their root with a native English stemmer and strip trailing 's, so running matches run and John's matches john.

It produces standard tsvector values, so a tokenizer you configure works with to_tsvector, GIN (generalized inverted index) indexes, and the lakebase_text lakebase_bm25 index for BM25 (best match 25) ranking. Install it after enabling Lakebase Search in your project settings. See lakebase_tokenizer.

Lakebase Search is available on GCP (Beta)

September 28, 2026

Lakebase Search is now available in Beta on GCP. It brings scalable vector and keyword search to Lakebase projects through three 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. It is drop-in compatible with pgvector, using the same types, operators, and query syntax, and scales to over 1 billion vectors on a single index with builds up to 50-100x faster than HNSW.
• lakebase_text adds the lakebase_bm25 index type for BM25 full-text search. It works with standard tsvector types and operators, adding BM25 ranking and top-K pushdown that PostgreSQL's native GIN index does not provide.
• lakebase_tokenizer adds configurable whole-word tokenization for full-text search through the tokenizer_wholeword template. It works with standard to_tsvector, the @@ operator, ranking functions, and GIN indexes, and pairs with lakebase_text for BM25 ranking over custom-tokenized text.

Indexes are storage-backed, so they are available immediately after scale-to-zero without warmup. Combine lakebase_vector and lakebase_text for hybrid search that returns semantically similar and exact-term matches in one ranked list. To get started, enable Lakebase Search in your project settings, then install the extensions.

See Lakebase Search, lakebase_vector, lakebase_text, and lakebase_tokenizer.

Lakebase backup schedule API (Beta)

September 22, 2026

You can now manage Lakebase backup schedules programmatically. The backup 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 snapshots API (Beta)

September 15, 2026

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 and available to all Lakebase workspaces. See Create a snapshot.

Postgres minor version updates

August 24, 2026

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.

Lakebase Postgres APIs are now generally available

August 14, 2026

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 update notifications now post 3 days in advance

July 10, 2026

To deliver Postgres version updates, security patches, and new features to your projects sooner, Lakebase has shortened the planned update notification window. Planned updates are now posted at least 3 days in advance, rather than 7. You can check your project's settings for upcoming updates.

See Manage updates.

Lakebase Postgres is now in Beta

June 15, 2026

Lakebase, a fully managed Postgres database with autoscaling compute, scale-to-zero, and branching, is now in Beta. Available in the following regions: us-east4, us-central1, and europe-west3. To create your first project, see Get a Postgres database.

Lakebase databases as Databricks Apps resources

March 16, 2026

You can now add Lakebase databases as resources for your Databricks app. See Add a Lakebase resource to a Databricks app.