Aptabase vs Umami
| Tagline | Privacy-first, open-source analytics for 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 | Google Analytics |
| GitHub stars | 1.7k | 37k |
| Language | Docker | TypeScript |
| License | AGPL-3.0 | MIT |
| Self-host difficulty | 3/5 Moderate | 3/5 Moderate |
| Deploy options | Docker Docker Compose | One-Click Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | 3 months 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.
Aptabase
- No funnel, retention, or cohort analysis out of the box
- Limited to event-based tracking; no session replay or heatmaps
- Smaller SDK ecosystem compared to Firebase Analytics or Mixpanel
- Self-hosted version may lag behind the cloud product in features
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