Heap
PostHog
| Feature | Heap | |
|---|---|---|
| Pricing | Free only | Free / from $0/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.5 / 5 |
| Best For | product-teams, growth-teams, ux-researchers, data-analysts | developers, startups, product-teams, privacy-conscious-companies |
| Founded | 2013 | 2020 |
| Auto Capture | ✓ | ✗ |
| Retroactive Analytics | ✓ | ✗ |
| Session Replay | ✓ | ✓ |
| Journey Mapping | ✓ | ✗ |
| Funnels | ✓ | ✗ |
| Retention | ✓ | ✗ |
| Product Analytics | ✗ | ✓ |
| Feature Flags | ✗ | ✓ |
| Experiments | ✗ | ✓ |
| Surveys | ✗ | ✓ |
| Data Warehouse | ✗ | ✓ |
| Self Hosting | ✗ | ✓ |
✓ Heap Pros
- Auto-capture all events
- No code required for tracking
- Retroactive analysis possible
- Session replay included
✗ Heap Cons
- Expensive at scale
- Can be data-overwhelming
- Slower than event-based tools
✓ 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 teams, with a focus on auto-capture and retroactive-analytics. 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.
Feature-wise, PostHog offers broader built-in capabilities (7 features vs 6), while Heap takes a more focused approach — which can mean a simpler, faster onboarding experience.
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.