DBPLUS Performance Monitor vs Percona Monitoring and Management
DBPLUS Performance Monitor
dbplus.tech
Percona Monitoring and Management
percona.comSide by side
| Figure | DBPLUS Performance Monitor | Percona Monitoring and Management |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 1 |
| Spec score · Database Monitoring | 7.9 (#12) | 7.8 (#15) |
| Alerts | Alerts can be defined for waits, I/O, and SQL conditions. | The product page describes Percona Alerting with more than 15 notification channels. |
| Purpose | DBPLUS Performance Monitor diagnoses, analyzes, and optimizes database performance and identifies whether problems arise from databases, SQL queries, waits, concurrency, CPU, I/O, or storage. | PMM is an open source database observability, monitoring, and management tool for MySQL, PostgreSQL, MongoDB, and the servers they run on. |
Plans
DBPLUS Performance Monitor
- Per-instance licensePriced on request
- Unlimited licensePriced on request
In their own words
DBPLUS Performance Monitor
DBPLUS Performance Monitor has no write-up on Specifiction yet; its figures are above.
Percona Monitoring and Management
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.