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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

FullStory Looker
Category AI Data Analysis AI Data Analysis
Pricing enterprise enterprise
Starting Price Paid Paid
Best For data-analysis, user-experience, session-replay data-analysis, business-intelligence, google-cloud
Features 6 listed 6 listed

FullStory

Digital experience platform with session replay, heatmaps, and AI frustration detection.

AI Data Analysis enterprise
VS

Looker

Google Cloud BI with LookML semantic layer and Gemini AI-powered analytics.

AI Data Analysis enterprise

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

enterprise

Free trial available. Business and Enterprise plans with custom pricing based on sessions.

Looker

enterprise

Custom 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.

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