Heap
PostHog
| Feature | Heap | PostHog |
|---|---|---|
| Pricing | Free only | Free / from $0/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.5 / 5 |
| Best For | product-teams, growth-marketers, ux-researchers, saas-companies | developers, startups, product-teams, privacy-conscious-companies |
| Founded | 2013 | 2020 |
| Auto Capture | ✓ | ✗ |
| Session Replay | ✓ | ✓ |
| Funnel Analysis | ✓ | ✗ |
| Retention Analysis | ✓ | ✗ |
| User Segments | ✓ | ✗ |
| Data Science | ✓ | ✗ |
| Integrations | ✓ | ✗ |
| Product Analytics | ✗ | ✓ |
| Feature Flags | ✗ | ✓ |
| Experiments | ✗ | ✓ |
| Surveys | ✗ | ✓ |
| Data Warehouse | ✗ | ✓ |
| Self Hosting | ✗ | ✓ |
✓ Heap Pros
- Auto-captures all user interactions without code
- Retroactive analysis (define events after the fact)
- Session replay integrated with analytics
- No engineering resources needed for tracking
✗ Heap Cons
- Pricing not transparent (sales-required for growth+)
- Can generate excessive data requiring cleanup
- UI can feel slower than event-based alternatives
✓ PostHog Pros
- All-in-one analytics replacing multiple tools
- Generous free tier (1M events/month)
- Self-hostable for full data control
- Feature flags and experiments built-in
✗ PostHog Cons
- Can be complex to set up properly
- Self-hosting requires infrastructure maintenance
- Less polished UI than Amplitude
The Verdict
Heap is built for product teams and growth marketers, with a focus on auto-capture and session-replay. PostHog targets developers and startups and leads with product-analytics and session-replay.
Heap uses custom enterprise pricing, while PostHog starts at $0/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Both tools are a solid fit for product teams — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.