Lakebase Autoscaling

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Lakebase Autoscaling is available in the following regions: us-east-1, us-east-2, eu-central-1, eu-west-1, eu-west-2, ap-south-1, ap-southeast-1, ap-southeast-2.

Lakebase Autoscaling is the latest version of Lakebase with autoscaling compute, scale-to-zero, branching, and instant restore. For feature comparison with Lakebase Provisioned, see choosing between versions.

Lakebase Autoscaling provides a fully managed Postgres database service integrated with the Databricks Data Intelligence Platform, offering automatic scaling, branching, and integration with Databricks services.

Learn about Lakebase Autoscaling

Understand Lakebase architecture, concepts, and how to get started.

• • What is Lakebase Autoscaling?
  • Overview of Lakebase architecture, branching, and how projects are organized.
• • Get started with Lakebase
  • Step-by-step guide to enable Lakebase and create your first project.
• • Grant project and database access to users
  • Learn how to set up project permissions and Postgres roles to grant database access.
• • Branch-based development tutorial
  • Learn how to use branches for safe development workflows.

Key features

Explore features that optimize performance, reduce costs, and enable flexible development workflows.

• • Autoscaling
  • Automatically adjust compute resources based on workload demand.
• • Scale to zero
  • Automatically suspend inactive computes to minimize costs.
• • Branches
  • Create isolated branches for development and testing.
• • Read replicas
  • Create read-only replicas to scale read operations.
• • Instant restore
  • Restore your database to any point in time within your restore window.

Connect and query

Use various tools and interfaces to connect to and query your database.

• • Connect to your database
  • Learn different ways to connect to your Lakebase database.
• • Query with SQL Editor
  • Use the built-in SQL Editor to query and manage your database.
• • Tables editor
  • Use the visual interface to view, edit, and manage data and schemas.
• • Postgres clients
  • Connect using standard Postgres clients and tools.
• • Querying data at a point in time
  • Query data using point-in-time branches.

Databricks integrations

Connect Lakebase with your existing Databricks data and workflows.

• • Register in Unity Catalog
  • Register your Lakebase database in Unity Catalog for unified governance.
• • Reverse ETL
  • Sync data from Unity Catalog tables into your Lakebase database.

Manage and operate

Create, configure, and manage your projects and resources.

• • Manage projects
  • Create, configure, and manage projects.
• • Manage project permissions
  • Grant and manage permissions to control project access and management.
• • Manage branches
  • Create and manage branches for development and testing.
• • Manage computes
  • Configure compute resources and scaling for your branches.
• • Manage read replicas
  • Create and manage read-only replicas to scale read operations.
• • Manage roles
  • Create and manage Postgres roles and permissions.
• • Manage databases
  • Create and manage databases within your branches.
• • API
  • Use the Lakebase Autoscaling API to manage projects, branches, and computes programmatically.
• • Databricks CLI
  • Use the Databricks CLI to manage projects, branches, and computes programmatically.
• • Terraform
  • Use Terraform to manage projects, branches, and computes as code.
• • Updates
  • Manage Postgres version updates for your projects.
• • Monitor
  • Track performance, usage, and health metrics.
• • Backup and restore
  • Configure automated backups and point-in-time recovery.