Looker vs Simple Analytics: Analytics Comparison (2026)
Looker and Simple Analytics both offer free tiers for analytics, but cater to different user needs. Looker provides advanced, SQL-based modeling and extensive integration within the Google Cloud ecosystem, suitable for complex data environments. Simple Analytics focuses on privacy-friendly, lightweight analytics with a straightforward, one-page dashboard, ideal for users prioritizing simplicity and GDPR compliance.
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
- ✓LookML for SQL-based modeling
- ✓Integration with Data Studio
- ✓Cloud infrastructure on Google Cloud
- ✓Prebuilt and custom integrations
- ✓Privacy-friendly analytics
- ✓One-page dashboard
- ✓No cookies or consent banners
- ✓EU-hosted and compliant
- ✓Unlimited pageviews
- ✓30-day data history
- ✓API & BI access
- ✓Custom pricing for enterprise
When to choose Looker
Looker is suitable for organizations requiring a robust data modeling language (LookML), deep integration with Google Cloud and Data Studio, and customizable reports and dashboards. It is designed for complex data environments where SQL-based modeling and cloud infrastructure support are priorities.
When to choose Simple Analytics
Simple Analytics is suitable for users who prioritize privacy-friendly analytics, do not want to use cookies or consent banners, and require an EU-hosted and compliant solution. It is ideal for hobby sites or users needing a simple setup with a one-page dashboard and unlimited pageviews, with flexible pricing based on usage.
Frequently Asked Questions
AI visibility profiles
Is one of these your brand?
Get the full report by email: every analytics buyer question we ask, which engines name you, and who gets named instead.