Countly vs PostHog
| Tagline | Privacy-first product analytics for web, mobile, and desktop apps | All-in-one product analytics, session replay, feature flags, and A/B testing |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Mixpanel, Amplitude | Mixpanel, Amplitude, Hotjar, Google Analytics |
| GitHub stars | 5.9k | 40k |
| Language | JavaScript | Python |
| License | AGPL-3.0 | MIT |
| Self-host difficulty | 4/5 Involved | 5/5 Advanced |
| Deploy options | 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.
Countly
- Many advanced features (push notifications, A/B testing, some drill plugins) are reserved for the paid Enterprise Edition.
- The Community Edition documentation and upgrade path can be rough.
- UI and query speed lag behind ClickHouse-backed competitors at large scale.
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 Countly 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