Heap
Prometheus
| Feature | ||
|---|---|---|
| Pricing | Free only | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.5 / 5 |
| Best For | product-teams, growth-marketers, ux-researchers, saas-companies | devops-engineers, sre-teams, kubernetes-users, infrastructure-teams |
| Founded | 2013 | 2012 |
| Auto Capture | ✓ | ✗ |
| Session Replay | ✓ | ✗ |
| Funnel Analysis | ✓ | ✗ |
| Retention Analysis | ✓ | ✗ |
| User Segments | ✓ | ✗ |
| Data Science | ✓ | ✗ |
| Integrations | ✓ | ✗ |
| Metrics Collection | ✗ | ✓ |
| Alerting | ✗ | ✓ |
| Promql | ✗ | ✓ |
| Service Discovery | ✗ | ✓ |
| Grafana Integration | ✗ | ✓ |
| Multi Dimensional Data | ✗ | ✓ |
✓ 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
✓ Prometheus Pros
- Free and open-source
- Powerful query language
- Great Kubernetes integration
- Active community
✗ Prometheus Cons
- No built-in long-term storage
- Complex setup
- Steep learning curve
The Verdict
Heap is built for product teams and growth marketers, with a focus on auto-capture and session-replay. Prometheus targets devops engineers and sre teams and leads with metrics-collection and alerting.
Both tools use custom enterprise pricing — you'll need to contact sales for a quote, which makes direct cost comparison difficult.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Heap offers broader built-in capabilities (7 features vs 6), while Prometheus takes a more focused approach — which can mean a simpler, faster onboarding experience.
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.