PostHog vs Prisme Analytics
A side-by-side comparison of two self-hosted web analytics options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
PostHog
Open-source product analytics platform
VS
Prisme Analytics
Privacy-focused and progressive analytics service based on Grafana
| Feature | PostHog | Prisme Analytics |
|---|---|---|
| Category | Web Analytics | Web Analytics |
| License | MIT | AGPL-3.0 |
| Language | Python | TypeScript |
| Setup difficulty | Hard | Medium |
| Min. RAM | 4,096 MB | 512 MB |
| Deployment | docker, kubernetes | docker |
| GitHub stars | ★ 37,548 | ★ 127 |
| First released | 2020 | 2025 |
| Replaces | Google Analytics, Mixpanel, Amplitude | — |
Why pick each one
Choose Prisme Analytics if…
- Released under the AGPL-3.0 license
- First-class Docker support for quick deployment
- Written in TypeScript
- Lightweight — runs in 512 MB RAM
Frequently asked questions
Is PostHog or Prisme Analytics better?
Neither is universally better. PostHog has the larger community, while Prisme Analytics is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are PostHog and Prisme Analytics free and open-source?
Yes. PostHog is licensed under MIT and Prisme Analytics under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run PostHog and Prisme Analytics with Docker?
PostHog: yes. Prisme Analytics: yes.