databricks Platform · Updated Jun 30, 2026

Lakebase Autoscaling

Now available in AWS Tokyo region for enhanced scalability.

What it does

Lakebase Autoscaling allows users to automatically adjust compute resources based on workload demands within the Databricks environment. This feature is now available in the AWS Tokyo region (ap-northeast-1), enabling users to create projects with autoscaling capabilities that include a default database and compute resources. The autoscaling feature includes a scale-to-zero option, which conserves resources by shutting down compute when not in use, with a configurable inactivity timeout.

Why it matters

This update significantly enhances operational efficiency and cost management for businesses operating in the Tokyo region by providing on-demand resource scaling. Organizations can benefit from reduced costs associated with idle resources while ensuring that applications maintain performance during peak usage. This is particularly valuable for companies looking to optimize their cloud expenditures while maintaining high availability and responsiveness.

Key capabilities

Automatic Resource Scaling

Compute resources automatically adjust based on workload demands.

Scale-to-Zero Feature

Resources can be configured to shut down during inactivity, saving costs.

Postgres Database Integration

Easily create and connect to a Postgres database within the Lakebase environment.

Sample Data Setup

Preloaded SQL scripts allow for quick setup of sample data tables.

Prerequisites

Databricks workspace in the AWS Tokyo region

Basic understanding of Postgres and SQL

Recommended use cases

Developing applications that require dynamic resource allocation.Cost-effective management of cloud resources for variable workloads.Integrating Postgres databases with existing Databricks workflows.

Architecture

Lakebase App → Autoscaling UI → Postgres Database → Databricks Lakehouse

Get started

Create a Project

Open the Lakebase App, select Autoscaling, and create a new project.

Connect to Database

Select the production branch and use the provided connection string to connect.

Create a Table

Use the SQL Editor to run sample SQL and create a new table.

Configure Autoscaling

Set up autoscaling and scale-to-zero options as needed.

Explore Next Steps

Learn about syncing data with Unity Catalog and storing changes in the lakehouse.

Key takeaway

Lakebase Autoscaling in the AWS Tokyo region enhances resource efficiency and cost management for dynamic workloads.

2026-06-30-lakebase-autoscaling-now-available-in-aws-tokyo-region-ap-northeast-1 Generated by the Databricks Updates Agent · browse all updates