FullStory vs Looker
AI Data Analysis tools comparison · Updated 2026
Choosing between FullStory and Looker? Both are popular AI Data Analysis tools. FullStory starts at Paid and focuses on Session replay. Looker starts at Paid and specializes in LookML modeling. Here's a detailed side-by-side comparison to help you decide.
At a Glance
Feature Comparison
| FullStory | Looker |
|---|---|
| ✓ Session replay | ✓ LookML modeling |
| ✓ Heatmaps | ✓ Embedded analytics |
| ✓ Frustration signals | ✓ Gemini AI integration |
| ✓ Product analytics | ✓ API-first design |
| ✓ Error tracking | ✓ Data governance |
| ✓ AI insights | ✓ Git version control |
Pricing Comparison
FullStory
enterpriseFree trial available. Business and Enterprise plans with custom pricing based on sessions.
Looker
enterpriseCustom pricing through Google Cloud. Looker Studio is free. Looker enterprise requires quote.
Pros & Cons
FullStory
Pros
- Excellent session replay
- AI frustration detection
- Rich DX insights
- Powerful search
Cons
- Expensive
- Session-based pricing
- Privacy considerations
Looker
Pros
- Strong semantic layer
- Git-based workflows
- Scalable
- Excellent embedded analytics
Cons
- LookML learning curve
- Expensive
- Tied to Google Cloud
The Verdict
Both FullStory and Looker are strong AI Data Analysis tools. FullStory stands out for Excellent session replay, making it ideal if that's your priority. Looker excels at Strong semantic layer, which may be more important for your workflow.
Related Topics
Also Consider
Other popular AI Data Analysis tools you might want to compare.