PostHog vs Matomo
PostHog is open-source product analytics suite with session replay, feature flags, A/B testing, and surveys, while Matomo is open-source web analytics platform that gives you full control over your data. PostHog is built for product teams that need analytics, session replay, and feature flags in one tool, whereas Matomo targets organizations wanting full google analytics replacement with privacy.
| Feature | PostHog | Matomo |
|---|---|---|
| Free tier available | ✓ | ✓ |
| Open source | ✓ | ✓ |
| A/B Testing | ✓ | — |
| Feature Flags | ✓ | — |
| GDPR | — | ✓ |
| Heatmaps | — | ✓ |
| Open Source | — | ✓ |
| Product Analytics | ✓ | — |
| Self-Hosted | — | ✓ |
| Session Replay | ✓ | — |
| Surveys | ✓ | — |
Pricing: Both PostHog and Matomo are free, so this decision comes down to features and philosophy rather than budget.
Feature gaps: PostHog offers A/B Testing, Feature Flags and Product Analytics that Matomo lacks. Matomo brings GDPR, Heatmaps and Open Source that PostHog does not have.
Team fit: Both tools target any size teams, so the decision hinges on features and workflow fit rather than scale.
Open source: Both PostHog and Matomo are open source, so self-hosting and code audits are on the table with either choice.
Where each tool shines: PostHog's biggest strengths are: all-in-one: analytics, session replay, feature flags, a/b tests. generous free tier (1m events/mo). Matomo's biggest strengths are: open source and transparent. open-source codebase gives you full transparency and community-driven development.
Watch out for: With PostHog, users commonly note that can be overwhelming — lots of features. With Matomo, the main complaint is that may lack some advanced features.
choose PostHog if
- You need a tool built for product teams that need analytics, session replay, and feature flags in one tool
- You specifically need A/B Testing and Feature Flags
- You care about generous free tier (1m events/mo)
choose Matomo if
- Your profile matches its sweet spot: organizations wanting full google analytics replacement with privacy
- You specifically need GDPR and Heatmaps
- You care about open-source codebase gives you full transparency and community-driven development
frequently asked
What is the difference between PostHog and Matomo?
PostHog is open-source product analytics suite with session replay, feature flags, A/B testing, and surveys, while Matomo is open-source web analytics platform that gives you full control over your data. PostHog is built for product teams that need analytics, session replay, and feature flags in one tool, whereas Matomo targets organizations wanting full google analytics replacement with privacy.
Should I use PostHog or Matomo?
PostHog is built for product teams that need analytics, session replay, and feature flags in one tool. Matomo is built for organizations wanting full google analytics replacement with privacy. Pick the one that fits.
When should I choose PostHog over Matomo?
Choose PostHog if You need a tool built for product teams that need analytics, session replay, and feature flags in one tool; You specifically need A/B Testing and Feature Flags; You care about generous free tier (1m events/mo).
When should I choose Matomo over PostHog?
Choose Matomo if Your profile matches its sweet spot: organizations wanting full google analytics replacement with privacy; You specifically need GDPR and Heatmaps; You care about open-source codebase gives you full transparency and community-driven development.
related comparisons
Google Analytics vs PostHog · Plausible vs PostHog · Fathom vs PostHog · Umami vs PostHog · PostHog vs Mixpanel · PostHog vs Amplitude · PostHog vs Hotjar · PostHog vs Heap