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