Heap vs Looker: Analytics Comparison (2026)
Heap and Looker both offer free tiers for their analytics platforms. Heap provides core analytics charts, unlimited enrichment sources, 6 months of data history, and SSO. Looker features LookML for SQL-based modeling, integration with Data Studio, cloud infrastructure on Google Cloud, and prebuilt and custom integrations.
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.
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
- ✓Core analytics charts
- ✓Unlimited enrichment sources
- ✓6 months data history
- ✓SSO
- ✓LookML for SQL-based modeling
- ✓Integration with Data Studio
- ✓Cloud infrastructure on Google Cloud
- ✓Prebuilt and custom integrations
When to choose Heap
Heap is suitable for users who need core analytics features, unlimited data sources, and an AI assistant. It offers a free tier that includes core analytics and unlimited enrichment sources.
When to choose Looker
Looker is suitable for users who require a strong modeling language like LookML, seamless data integration, and support for cloud solutions, particularly within the Google Cloud ecosystem. It offers customizable reports and dashboards.