Instantly clone your production database and...
Eliminate downtime caused by
poorly tested database changes
Test your SQL optimizations on a
realistic, risk-free database clone
Easily access fresh data
for development and testing
Maintain security and compliance by
masking sensitive data
Automatically verify
your database migrations
Verify database changes in CI
Integrate database migration testing into your CI/CD pipeline and verify that any DDL or DML change will run correctly on production.
Understand how your database migrations will perform before you deploy.
Eliminate database-related downtime risk.
Learn more
Automatically verify
your database migrations
Verify database changes in CI
Integrate database migration testing into your CI/CD pipeline and verify that any DDL or DML change will run correctly on production.
Understand how your database migrations will perform before you deploy.
Eliminate database-related downtime risk.
Learn more
Optimize SQL on
production database clones
Optimize SQL on
production database clones
Optimize SQL on an instantly provisioned, independent, production clone and stop experimenting on live data.
Joe Bot, our virtual DBA, runs on top of Database Lab to help you find and fix bottlenecks.
Iterate as many times as you want to achieve the best results.
Learn more
Run staging and test apps
with full data
Run staging and test apps
with full data
Understand exactly how your application will behave on production.
Give each developer their own full-size database without the hassle and cost.
Simplify the setup and onboarding of new teammates.
Learn more
The latest from our blog
Common DB schema change mistakes
One of the easiest ways to "create a heavy load from nothing" is to write a couple of DDL commands and deploy them to production without thorough analysis and testing. In this post, we will discuss 18 widespread mistakes you would want to avoid when changing DB schema under load.
DLE 3.1: pgBackRest, timezones for CLI, DLE community
The Postgres.ai team is happy to announce the release of version 3.1 of Database Lab Engine (DLE), the most advanced open-source software ever released that empowers development, testing, and troubleshooting environments for fast-growing projects.
Progress bar for Postgres queries – let's dive deeper
Various ways to monitor the progress of PostgreSQL query execution.
EXPLAIN (ANALYZE) needs BUFFERS to improve the Postgres query optimization process
The EXPLAIN command has the BUFFERS option disabled by default. It has to be enabled and used by everyone who needs to do some SQL optimization work.
DLE 3.0: UI, persistent clones, PostgreSQL 14, more
The Postgres.ai team is happy to announce the release of version 3.0 of Database Lab Engine (DLE), the most advanced open-source software ever released that empowers development, testing, and troubleshooting environments for fast-growing projects.
Three Cases Against IF NOT EXISTS / IF EXISTS in Postgres DDL
If we aim to have predictable results, it is better to avoid to avoid IF NOT EXISTS / IF EXISTS in DB schema migrations.Open source and extensible
We work hard to make our products open, accessible, and extensible. Join the Database Lab Engine Community and help us build even better products.
Found a bug? Have a feature idea? Want to contribute? Talk to us.
Postgres.ai ❤ open source.
Database Lab Engine
Provision independent, multi-terabyte, PostgreSQL databases in a few seconds.
Joe Bot 🤖 for SQL optimization
Database Lab's Virtual DBA, Joe, helps engineers quickly troubleshoot and optimize SQL. Joe runs on top of Database Lab.