Ackee vs Umami
| Tagline | Self-hosted, privacy-focused Node.js analytics with a minimal interface | Simple, fast, privacy-focused web analytics in a single lightweight dashboard |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Google Analytics | Google Analytics |
| GitHub stars | 4.7k | 39k |
| Language | JavaScript | TypeScript |
| License | MIT | MIT |
| Self-host difficulty | 3/5 Moderate | 3/5 Moderate |
| Deploy options | One-Click Docker Docker Compose Manual | One-Click Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | 4 days ago | 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.
Ackee
- Very limited feature set: no funnels, cohorts, heatmaps, or session replay.
- Aggressive anonymization means less granular insight than commercial tools.
- Requires MongoDB, which is heavier than a SQLite single-binary option for such a simple tool.
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
Both are a similar lift to self-host; choose Umami for the larger community and ecosystem. Umami has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Umami
Simple, fast, privacy-focused web analytics in a single lightweight dashboard