Heap icon

Heap

★★★★ 4.3
VS
New Relic icon

New Relic

★★★★ 4.3
Feature Heap New Relic
Pricing Free only Free / from $0.3/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.3 / 5 4.3 / 5
Best For product-teams, growth-marketers, ux-researchers, saas-companies development-teams, sre-teams, startups, devops-engineers
Founded 2013 2008
Auto Capture
Session Replay
Funnel Analysis
Retention Analysis
User Segments
Data Science
Integrations
Apm
Infrastructure Monitoring
Log Management
Browser Monitoring
Synthetics
Ai Assistant
Distributed Tracing
Error Tracking

✓ 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

✓ New Relic Pros

  • Generous free tier with 100GB/month data ingest
  • Full-stack observability in one platform
  • Usage-based pricing is cost-effective for many teams
  • Strong AI assistant (New Relic AI) for troubleshooting

✗ New Relic Cons

  • Per-user pricing for full platform access
  • Data retention limits on free tier
  • Can be complex to set up comprehensively

The Verdict

Heap is built for product teams and growth marketers, with a focus on auto-capture and session-replay. New Relic targets development teams and sre teams and leads with apm and infrastructure-monitoring.

Heap uses custom enterprise pricing, while New Relic starts at $0.3/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, New Relic offers broader built-in capabilities (8 features vs 7), while Heap 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.

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