Percona provides free and open source software for the MySQL and MongoDB community. You can view documentation for the latest Percona software or select older versions if they are still supported.
It is recommended to install all Percona software using official software repositories. These contain the latest official packages, including testing and experimental builds. For information about configuring and using Percona software repositories, see this guide.
Percona Distribution for MySQL
The most stable, scalable and secure open-source MySQL distribution, with two download options: one based on Percona Server for MySQL and one based on Percona XtraDB Cluster.
Percona Distribution for MongoDB
A single high-performance solution for enterprises looking to achieve optimum performance, without the expensive proprietary contract
Percona Server for MongoDB
A drop-in replacement for MongoDB with advanced features and functionality.
Percona Backup for MongoDB
A fully supported, open source, community backup tool for performing consistent hot backups in MongoDB.
Percona Distribution for PostgreSQL
The best and most critical enterprise-level components from the open-source community, designed and tested to work together in one single source.
Percona Monitoring and Management
Platform for monitoring and managing MySQL and MongoDB performance.
Percona Kubernetes Operators
Deploy and manage Percona Distributions on Kubernetes with Operators.
Percona Platform
A unified experience for developers and database administrators to monitor, manage, secure, and optimize database environments on any infrastructure.
pg_stat_monitor
pg_stat_monitor is a Query Performance Monitoring tool that brings more insight and details around query performance and scale on PostgreSQL systems. pg_stat_monitor significantly improves observability, enabling you to debug and tune query performance with greater precision.
ProxySQL admin utilities
Use ProxySQL Admin to configure Percona XtraDB Cluster nodes into ProxySQL. The Percona Scheduler Admin has a segment-aware failover mechanism and can automatically perform a failover due to node failures, service degradation, or maintenance requirements.
