Looker vs FullStory: Analytics Comparison (2026)
An independent side-by-side comparison of Looker and FullStory for analytics buyers — pricing, features, integrations, and how often each is cited by major AI engines.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask analytics questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Too early to call — probes still building data.
ChatGPT
Looker
6 / 133 probes
5%
PoorFullStory
Tracking…
No data yet
Perplexity
Looker
0 / 132 probes
0%
InvisibleFullStory
Tracking…
No data yet
Gemini
Looker
0 / 132 probes
0%
InvisibleFullStory
Tracking…
No data yet
Claude
Looker
9 / 133 probes
7%
Below averageFullStory
Tracking…
No data yet
Copilot
Looker
13 / 470 probes
3%
PoorFullStory
Tracking…
No data yet
Scale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
Looker
- ✓LookML for SQL-based modeling
- ✓Integration with Data Studio
- ✓Cloud infrastructure on Google Cloud
- ✓Prebuilt and custom integrations
FullStory
- ✓30,000 monthly sessions
- ✓12 months of analytics retention
- ✓Session Replay
- ✓Basic analytics
- ✓Debugging tools
- ✓Core capabilities for 10 users
When to choose Looker
Choose Looker if your team prioritizes its strengths over FullStory's. Full guidance populates as Looker's feature data is indexed.
When to choose FullStory
Choose FullStory if your team prioritizes its strengths over Looker's. Full guidance populates as FullStory's feature data is indexed.