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databricks-lakebase

Manage Lakebase Postgres projects, branches, and endpoints via the Databricks CLI.

251|71|Updated Jan 14, 2026
Search Tags:#database#cli#autoscaling#postgres#databricks#lakebase
One-click install
npx skills add https://github.com/databricks/databricks-agent-skills --skill databricks-lakebase-databricks
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-lakebase
Source: https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-lakebase
Command: npx skills add https://github.com/databricks/databricks-agent-skills --skill databricks-lakebase-databricks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the management of Databricks Lakebase Postgres projects, branches, and endpoints, allowing for efficient database operations via the Databricks CLI.

Core Features & Use Cases

  • Project Management: Create and manage Lakebase Postgres projects.
  • Branching: Create, manage, and delete isolated database branches for experimentation.
  • Endpoint Configuration: Set up read-write and read-only endpoints for your databases.
  • Use Case: You need to set up a new Lakebase Postgres project for an application, create a development branch for testing schema changes, and then provision a read-write endpoint for developers.

Quick Start

Use the databricks lakebase skill to create a new Lakebase Postgres project named 'my-app-db'.

Frequently Asked Questions about databricks-lakebase

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage Lakebase Postgres projects using the Databricks CLI?▼

You can manage Lakebase Postgres projects using the Databricks CLI to create, configure, and delete autoscaling databases, branches, and endpoints for OLTP workloads.

How do I create isolated database branches for testing schema changes in Postgres?▼

You can create isolated database branches by using the Databricks CLI to manage Lakebase Postgres resources, allowing you to safely experiment with schema changes before deploying them.

Can I set up read-write and read-only endpoints for my Postgres databases?▼

Yes, you can configure both read-write and read-only endpoints for your Postgres databases by managing Lakebase projects directly through the Databricks CLI.

Do I need a specific Databricks CLI version to manage Lakebase Postgres autoscaling projects?▼

Yes, you need Databricks CLI version 0.292.0 or higher to ensure full functionality when managing Lakebase Postgres autoscaling projects, branches, and endpoints.

What is the best way to provision an autoscaling Postgres database for OLTP workloads in Databricks?▼

The best way to provision an autoscaling Postgres database for OLTP workloads is by creating a Lakebase Postgres project via the Databricks CLI to handle your transactional operations.

Are there limitations when deleting Lakebase Postgres branches and endpoints?▼

While you can delete Lakebase Postgres branches and endpoints using the Databricks CLI, ensure your CLI version is 0.292.0 or higher to avoid functionality limitations during resource removal.

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