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Percona Monitoring and Management

percona.com

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Spec score 7.8 #15 of 38 in Database Monitoring

What it is

Percona Monitoring and Management (PMM) is a free, open source tool for monitoring, managing, and observing databases and the servers they use. It covers MySQL, PostgreSQL, MongoDB, and deployments across on-premises, cloud, and hybrid environments. Dashboards, configuration insight, and Query Analytics support monitoring; Query Analytics ranks queries by load and provides anomaly investigation, explain plans, and customizable dashboards. Percona Advisors scan MySQL, MongoDB, and PostgreSQL databases for security gaps, misconfigurations, and performance problems, then offer recommendations. PMM includes backup and restore for MongoDB and MySQL, with scheduled or on-demand backups and point-in-time recovery. Percona Alerting is described as supporting more than 15 notification channels. Deployment options include Docker, Podman, a virtual appliance, Kubernetes or OpenShift via Helm, and an AWS Marketplace instance. PMM Server has a browser-accessible interface; its documented Docker setup recommends at least 2 CPU cores, 4 GB RAM, and 100 GB disk, and requires x86-64-v2 CPU support. PMM Client connections to the server use TLS over HTTPS.

Spec sheet

Purpose
PMM is an open source database observability, monitoring, and management tool for MySQL, PostgreSQL, MongoDB, and the servers they run on.Read 30 Sep 2026 · percona.com
Founded
2006Read 23 Sep 2026 · percona.com
Advisors
Percona Advisors scan MySQL, MongoDB, and PostgreSQL databases for security gaps, misconfigurations, and performance problems, and provide recommendations.Read 30 Sep 2026 · percona.com
Alerts
The product page describes Percona Alerting with more than 15 notification channels.Read 30 Sep 2026 · percona.com
Backups
PMM includes backup and restore for MongoDB and MySQL, with scheduled or on-demand backup types and point-in-time recovery.Read 30 Sep 2026 · percona.com
Deployment coverage
PMM provides dashboards, query analytics, and configuration insight across on-premises, cloud, and hybrid environments.Read 30 Sep 2026 · percona.com
Deployment options
PMM documentation lists Docker, Podman, a virtual appliance, Kubernetes or OpenShift via Helm, and an AWS Marketplace instance as deployment options.Read 30 Sep 2026 · docs.percona.com
Maker history
Percona's company page says it has built enterprise-grade open source software since 2006.Read 30 Sep 2026 · percona.com
Query analytics
Query Analytics ranks queries by load and supports anomaly investigation, explain plans, and customizable query dashboards across MySQL, MongoDB, and PostgreSQL.Read 30 Sep 2026 · percona.com
Resource requirements
The documented Docker setup recommends at least 2 CPU cores, 4 GB RAM, and 100 GB disk, and requires a CPU with x86-64-v2 support.Read 30 Sep 2026 · docs.percona.com
Secure connection
PMM Client requires a TLS-encrypted connection and communicates with PMM Server over HTTPS.Read 30 Sep 2026 · docs.percona.com
Security and compliance
Percona's Trust Center lists GDPR, HIPAA, ISO 27001, and PCI badges and identifies annual third-party audits and penetration testing in its quick summary.Read 30 Sep 2026 · trust.percona.com
Supported technologies
The product page lists MySQL, PostgreSQL, MongoDB, Amazon RDS and Aurora, ProxySQL, and Percona XtraDB Cluster among its supported technologies and dashboards.Read 30 Sep 2026 · percona.com
Web interface
PMM Server provides a browser-accessible interface, and its Docker installation documentation requires changing the default admin password on first login.Read 30 Sep 2026 · docs.percona.com

Plans and prices

PMM Free Open source database monitoring, management, and observability; installation infrastructure may have separate costs Read 30 Sep 2026 · percona.com

Every Percona Monitoring and Management plan and price →

Strong points and limits

Strong points

  • Ranks queries by load and supports explain plans.
  • Advisors flag security gaps and misconfigurations.
  • Backs up and restores MongoDB and MySQL.
  • Offers multiple deployment options, including Docker and Kubernetes.

Limits

  • Docker setup recommends at least 2 CPU cores.
  • Docker setup recommends 4 GB RAM and 100 GB disk.
  • Docker setup requires x86-64-v2 CPU support.

Who it suits

PMM suits teams managing MySQL, PostgreSQL, or MongoDB across on-premises, cloud, or hybrid environments. It is relevant for users who need query analytics, database recommendations, or MySQL and MongoDB backup and restore.

Verdict

PMM brings query analysis, recommendations, alerting, and selected database backup and restore into one monitoring and management tool. Its documented Docker requirements include specific CPU, memory, and disk capacity.

Where Specifiction places it

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