Amplitude
Heap
| Feature | Amplitude | Heap |
|---|---|---|
| Pricing | Free / from $49/mo | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Best For | product-teams, growth-teams, data-analysts, saas-companies | product-teams, growth-marketers, ux-researchers, saas-companies |
| Founded | 2012 | 2013 |
| Event Analytics | ✓ | ✗ |
| Cohort Analysis | ✓ | ✗ |
| Funnels | ✓ | ✗ |
| Retention | ✓ | ✗ |
| Experimentation | ✓ | ✗ |
| Session Replay | ✓ | ✓ |
| Cdp | ✓ | ✗ |
| Auto Capture | ✗ | ✓ |
| Funnel Analysis | ✗ | ✓ |
| Retention Analysis | ✗ | ✓ |
| User Segments | ✗ | ✓ |
| Data Science | ✗ | ✓ |
| Integrations | ✗ | ✓ |
✓ Amplitude Pros
- Powerful behavioral cohort analysis
- Free tier generous (50K monthly tracked users)
- Built-in experimentation (A/B testing)
- Excellent for product-led growth metrics
✗ Amplitude Cons
- Complex event taxonomy required upfront
- Expensive at scale beyond free tier
- Steep learning curve for non-analysts
✓ 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
The Verdict
Amplitude is built for product teams and growth teams, with a focus on event-analytics and cohort-analysis. Heap targets product teams and growth marketers and leads with auto-capture and session-replay.
Heap uses custom enterprise pricing, while Amplitude starts at $49/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, saas companies — 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.