नोट
इस पेज तक पहुँच के लिए प्रमाणन की आवश्यकता होती है. आप साइन इन करने या निर्देशिकाओं को बदलने का प्रयास कर सकते हैं.
इस पेज तक पहुँच के लिए प्रमाणन की आवश्यकता होती है. आप निर्देशिकाओं को बदलने का प्रयास कर सकते हैं.
Important
Lakebase Autoscaling is the latest version of Lakebase, with autoscaling compute, scale-to-zero, branching, and instant restore. For supported regions, see Region availability. If you are a Lakebase Provisioned user, see Lakebase Provisioned.
Lakebase Autoscaling is 100% standard Postgres with automatic scaling, instant branching, and deep integration with the Databricks platform. Create a project, get a connection string, and start building.
| Path | Description |
|---|---|
| Get started with Lakebase | Create a project, connect, run your first query, and explore integrations with Unity Catalog and the Databricks lakehouse. |
| Serve lakehouse data in your app | Sync Unity Catalog tables into Lakebase for low-latency app serving. Eliminate reverse ETL pipelines with fully managed syncs. |
Learn about Lakebase Autoscaling
| Topic | Description |
|---|---|
| What is Lakebase Autoscaling? | Overview of Lakebase architecture, branching, and how projects are organized. |
| Tutorials | Hands-on tutorials for common workflows including branching, app development, and user access. |
| Core concepts | Autoscaling, scale-to-zero, branching, and how separated compute and storage works. |
Key features
Explore features that optimize performance, reduce costs, and enable flexible development workflows.
| Feature | Description |
|---|---|
| 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 | Create a new branch from any point in time within your restore window. |
Connect and query
Use various tools and interfaces to connect to and query your database.
| Task | Description |
|---|---|
| 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.
| Integration | Description |
|---|---|
| Register in Unity Catalog | Register your Lakebase database in Unity Catalog for unified governance. |
| Serve data with synced tables | Serve lakehouse data through your Lakebase database for low-latency applications. |
| Databricks Apps | Build and deploy interactive applications with Lakebase as the managed Postgres backend. |
| Agent state and memory | Store durable short-term and long-term agent memory in Lakebase for AI agents built with LangGraph or the OpenAI Agents SDK. |
| Feature Store and Model Serving | Use Lakebase as a low-latency online feature store backend for ML models served with Mosaic AI Model Serving. |
Manage and operate
Create, configure, and manage your projects and resources.
| Task | Description |
|---|---|
| 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. |
| Declarative Automation Bundles | Use Declarative Automation Bundles to manage projects, branches, and computes as code. |
| 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. |