FullStory vs Heap
AI Data Analysis tools comparison · Updated 2026
Choosing between FullStory and Heap? Both are popular AI Data Analysis tools. FullStory starts at Paid and focuses on Session replay. Heap starts at Freemium and specializes in Auto-capture. Here's a detailed side-by-side comparison to help you decide.
At a Glance
Feature Comparison
| FullStory | Heap |
|---|---|
| ✓ Session replay | ✓ Auto-capture |
| ✓ Heatmaps | ✓ Retroactive analytics |
| ✓ Frustration signals | ✓ Session replay |
| ✓ Product analytics | ✓ Funnel analysis |
| ✓ Error tracking | ✓ Journey mapping |
| ✓ AI insights | ✓ Data science integration |
Pricing Comparison
FullStory
enterpriseFree trial available. Business and Enterprise plans with custom pricing based on sessions.
Heap
freemiumFree plan available. Growth, Pro, and Premier tiers with custom pricing.
Pros & Cons
FullStory
Pros
- Excellent session replay
- AI frustration detection
- Rich DX insights
- Powerful search
Cons
- Expensive
- Session-based pricing
- Privacy considerations
Heap
Pros
- No manual tracking needed
- Retroactive analysis
- Complete data capture
- Easy setup
Cons
- Can capture too much data
- Custom pricing is opaque
- Query performance at scale
The Verdict
Both FullStory and Heap are strong AI Data Analysis tools. FullStory stands out for Excellent session replay, making it ideal if that's your priority. Heap excels at No manual tracking needed, which may be more important for your workflow. Price-wise, FullStory is enterprise while Heap is freemium, so budget may also factor in.
Related Topics
Also Consider
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