25 releases · 1 this month
When you write to Lakebase from Structured Streaming, you can use merge strategies to control how upserts update individual columns. Keep the first or last value, ignore nulls, or select values by an ordering column. Merge strategies require Databricks Runtime 19 and above. See Merge strategies for upserts .
The Lakebase snapshots and backup schedule APIs are now generally available. These APIs allow users to manage point-in-time snapshots and configure automated backup cadences for root branches.
Lakebase Insights now diagnoses issues using telemetry from the system.lakebase system tables and recommends next steps. The Lakebase Insights workspace preview enables automatic telemetry capture. Users with CAN MANAGE can configure Insights directly in each project's Settings , without creating an observability configuration.
You can now use native Postgres logical replication to stream changes into and out of Lakebase. Migrate an existing Postgres database into Lakebase and keep it in sync until you cut over, or publish changes from Lakebase to external Postgres databases. See Logical replication .
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.
The following supported Postgres extensions are now available at newer versions. Existing installations keep their current version until you update them with ALTER EXTENSION .
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.
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 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.
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 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.
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 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 .
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.
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.
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 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 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 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), 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. For our SOC reports, please ask your Databricks account team or see Compliance .
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 is now available in ap-northeast-1 (Asia Pacific - Tokyo). For all supported regions, see Region availability . To get started, see Get a Postgres database .
Managed Postgres on the lakehouse.
Other Databricks products: Agent Bricks and Mosaic AI, AI/BI and Genie, Databricks Apps, Databricks Data Intelligence Platform, Databricks SQL, Delta Lake, Lakeflow, MLflow, Unity Catalog
| Release-notes page | Site | Feed |
|---|---|---|
| Lakebase docs.databricks.com | docs.databricks.com | None |
| AI/BI (dashboards, Genie) docs.databricks.com | docs.databricks.com | None |
| Databricks CLI releases github.com | github.com | RSS |
| Databricks Connect docs.databricks.com | docs.databricks.com | None |
| Databricks Runtime docs.databricks.com | docs.databricks.com | None |
| Declarative Automation Bundles docs.databricks.com | docs.databricks.com | None |
| Developer tools (CLI, SDK, Terraform) docs.databricks.com | docs.databricks.com | None |
| Feature Store docs.databricks.com | docs.databricks.com | None |
| Platform release notes (AWS) docs.databricks.com | docs.databricks.com | RSS |
| Python SDK releases github.com | github.com | RSS |
| Serverless compute docs.databricks.com | docs.databricks.com | None |
| Serverless environment versions docs.databricks.com | docs.databricks.com | None |
| Terraform provider releases github.com | github.com | RSS |
| Unity AI Gateway docs.databricks.com | docs.databricks.com | None |
| What's coming docs.databricks.com | docs.databricks.com | None |
Releasesby Glyph