Vitess databases on PlanetScale support sophisticated vector search.

We've published a deep-dive on how we built this for MySQL in a way that is scalable, performant, and ACID-compliant.

Postgres: process-per-connection

MySQL: thread-per-connection

Learn more about processes, threads, connection pooling, and how they impact database performance in our latest interactive article.

Minimizing query latency is crucial for keeping your databases performant and your applications fast.

Learn how to use Insights to identify slow queries.

We give users full control over the size and capabilities of their network-attached Postgres storage. Tune minimum size, maximum autoscaling, IOPS, and throughput.

PlanetScale Metal runs in AWS and GCP, making it easy to deploy your database and application near each other.

Postgres 13 goes end-of-life November 2025.

Learn how to migrate a Postgres 13 database to PlanetScale in our new video guide.

We give our customers deep observability into their Postgres databases.

From the metrics page, to query insights, and advanced log search, you have all the tools you need to monitor the situation.

Postgres or Vitess? Metal or EBS? AWS or GCP?

Configure your database exactly how you want with PlanetScale.

We've brought PlanetScale Insights to Postgres.

This gives developers deep observability into query performance, index usage, anomaly detection, and more.

The scalability of Vitess combined with the performance of PlanetScale Metal gives you the best of all worlds: performance, scalability, and cost-effectiveness.

Learn more about how it works:

PlanetScale now supports Postgres.