Prisme Analytics vs Umami
| Tagline | Event-stream analytics built on ClickHouse for developer teams | Simple, fast, privacy-focused web analytics in a single lightweight dashboard |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Google Analytics, Mixpanel, Amplitude | Google Analytics |
| GitHub stars | 430 | 37k |
| Language | Go | 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 | 1 month ago | 6 days ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Prisme Analytics
- No no-code dashboard builder; requires SQL knowledge for custom reports
- ClickHouse dependency increases minimum infrastructure footprint
- No session replay, heatmaps, or A/B testing modules
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