Percona Monitoring and Management (PMM) vs. Monte Carlo
A side-by-side comparison based on G2 review data.
| Metric | Percona Monitoring and Management (PMM) | Monte Carlo |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 30 | 567 |
| Ease of use | 8.1 | 8.5 |
| Ease of setup | 8.7 | 8.5 |
| Quality of support | 8.5 | 9.1 |
| Meets requirements | 8.6 | 8.6 |
| NPS | 76.666667 | 55.417407 |
| Small Business | 26.7% | 4.9% |
| Mid-Market | 46.7% | 42.2% |
| Enterprise | 26.7% | 52.9% |
| Total page views | 147 | 1,928 |
| Total LLM citations | 612 | 9,537 |
Percona Monitoring and Management (PMM)
Percona Monitoring and Management (PMM) is an open source database observability, monitoring, and management tool. It allows database users to observe the health of their systems, explore new patterns in database behavior, quickly troubleshoot issues, and perform database management operations no matter where they are located - on-premises or in the cloud.
Monte Carlo
Monte Carlo is the agent trust platform, trusted by Nasdaq, Cisco, PepsiCo, and hundreds of enterprise organizations worldwide. Founded in 2019 and backed by leading investors, Monte Carlo pioneered data observability and has expanded into the full AI reliability stack. We're consistently ranked #1 in data observability on G2 — and we're built for what comes next. As enterprises scale from dozens to thousands of AI agents across mission-critical use cases, Monte Carlo monitors, troubleshoots, and improves both those agents and the underlying data powering them.
- Ease of Use
- Alerts
- Monitoring
- Alerting System
- Data Quality
- Features