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
DLE 2.5: Better data extraction for logical mode and configuration improvements
Now it is possible to dump/restore multiple databases at the same time and use different pg_dump formats and compression formats of plain-text dump. DLE and related products configuration structure were significantly reworked and require manual action to migrate to the new version.
What is a slow SQL query?
Is 200 ms slow for an SQL query? What about 20 ms? When do we need to optimize?
PostgreSQL Subtransactions Considered Harmful
PostgreSQL subtransactions (nested transactions) may cause multiple performance and scalability issues: higher rates of XID growth and higher risks of transaction ID wraparound, performance degradation when more than PGPROC_MAX_CACHED_SUBXIDS (64) are used in a session, drastic performance slowdowns when subtransactions are combined with SELECT .. FOR UPDATE, and finally, brief downtime on standbys when subtranasctions used on the primary in paralell with long-running transactions or just slow statements. Subtransactions can be created using SAVEPOINT in regular SQL or using EXCEPTION WHEN blocks in PL/pgSQL.Open source and extensible
Postgres.ai ❤ open-source.
We work hard to make our products open and extensible.
