Looker vs Heap: Analytics Comparison (2026)
An independent side-by-side comparison of Looker and Heap 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
4 / 91 probes
4%
PoorHeap
Tracking…
No data yet
Perplexity
Looker
0 / 90 probes
0%
InvisibleHeap
Tracking…
No data yet
Gemini
Looker
0 / 90 probes
0%
InvisibleHeap
Tracking…
No data yet
Claude
Looker
6 / 90 probes
7%
Below averageHeap
Tracking…
No data yet
Copilot
Looker
6 / 639 probes
1%
PoorHeap
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
Heap
- ✓Core analytics charts
- ✓Unlimited enrichment sources
- ✓6 months data history
- ✓SSO
When to choose Looker
Choose Looker if your team prioritizes its strengths over Heap's. Full guidance populates as Looker's feature data is indexed.
When to choose Heap
Choose Heap if your team prioritizes its strengths over Looker's. Full guidance populates as Heap's feature data is indexed.