Countly vs Umami
| Tagline | Privacy-first product analytics for web, mobile, and desktop apps | Simple, fast, privacy-focused web analytics in a single lightweight dashboard |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Mixpanel, Amplitude | Google Analytics |
| GitHub stars | 5.9k | 39k |
| Language | JavaScript | TypeScript |
| License | AGPL-3.0 | MIT |
| Self-host difficulty | 4/5 Involved | 3/5 Moderate |
| Deploy options | Docker Compose Manual | One-Click Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | yesterday | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Countly
- Many advanced features (push notifications, A/B testing, some drill plugins) are reserved for the paid Enterprise Edition.
- The Community Edition documentation and upgrade path can be rough.
- UI and query speed lag behind ClickHouse-backed competitors at large scale.
Umami
- Deliberately minimal: no heatmaps, session replay, or deep product-analytics like funnels/retention found in Mixpanel/Amplitude.
- Event/custom-property analytics are basic compared to dedicated product-analytics tools.
- No built-in alerting or anomaly detection.
Bottom line
Choose Umami if you want the lower-effort setup; choose Umami for the larger community and ecosystem. Open each guide below for deploy steps and the full feature gap.
Umami
Simple, fast, privacy-focused web analytics in a single lightweight dashboard