Ackee vs PostHog
| Tagline | Self-hosted, privacy-focused Node.js analytics with a minimal interface | All-in-one product analytics, session replay, feature flags, and A/B testing |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Google Analytics | Mixpanel, Amplitude, Hotjar, Google Analytics |
| GitHub stars | 4.7k | 40k |
| Language | JavaScript | Python |
| License | MIT | MIT |
| Self-host difficulty | 3/5 Moderate | 5/5 Advanced |
| Deploy options | One-Click Docker Docker Compose Manual | Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | 4 days 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.
Ackee
- Very limited feature set: no funnels, cohorts, heatmaps, or session replay.
- Aggressive anonymization means less granular insight than commercial tools.
- Requires MongoDB, which is heavier than a SQLite single-binary option for such a simple tool.
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 Ackee if you want the lower-effort setup; choose PostHog for the larger community and ecosystem. PostHog has seen more recent development. 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