Matomo vs PostHog
| Tagline | The leading open-source, privacy-friendly web analytics platform | All-in-one product analytics, session replay, feature flags, and A/B testing |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Google Analytics, Hotjar | Mixpanel, Amplitude, Hotjar, Google Analytics |
| GitHub stars | 22k | 40k |
| Language | PHP | Python |
| License | GPL-3.0 | MIT |
| Self-host difficulty | 4/5 Involved | 5/5 Advanced |
| Deploy options | Docker Docker Compose Manual | Docker Compose Kubernetes 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.
Matomo
- Heatmaps, session recordings, funnels, and A/B testing are paid premium plugins, not in the free core.
- The PHP codebase feels dated and the UI is heavier/slower than modern lightweight tools.
- Real-time reporting and advanced product-analytics (cohorts, retention) are weaker than Mixpanel/Amplitude.
PostHog
- Self-hosting the full ClickHouse + Kafka + Postgres + Redis stack is heavy; the project actively steers smaller users toward PostHog Cloud.
- Some enterprise features live under a separate proprietary
eelicense, not pure MIT. - The all-in-one breadth means it is more complex to operate than a focused tool like Mixpanel.
Bottom line
Choose Matomo if you want the lower-effort setup; choose PostHog for the larger community and ecosystem. Open each guide below for deploy steps and the full feature gap.
PostHog
All-in-one product analytics, session replay, feature flags, and A/B testing