Hotjar vs Looker
Which no-code tool is better for your project? Compare features, pricing, and more.
Quick Verdict
Hotjar is best for ux research and optimization. Looker is best for enterprise-wide metrics governance. Not sure? Let our AI recommend the right one.
| Feature | Hotjar | Looker |
|---|---|---|
| Pricing | Contact | Contact |
| Pricing Model | freemium | enterprise |
| Rating | 4.4/5 | 4.3/5 |
| AI Features | ✓ Yes | ✓ Yes |
| Founded | 2014 | 2012 |
| Company Size | 200-500 | 1000+ |
| Key Features |
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| Integrations | Google Analytics, Slack, Zapier, HubSpot | BigQuery, Snowflake, Redshift, PostgreSQL |
Hotjar — Pros & Cons
Best heatmap and session recording combination
Very easy to set up (one script tag)
Generous free tier (35 daily sessions)
Surveys and feedback integrated natively
Not a full product analytics tool (no custom events/funnels like Mixpanel)
Session recordings limited on lower plans
Can slow down pages slightly on heavy sites
Looker — Pros & Cons
Best-in-class semantic layer ensures consistent metrics
Deep Google Cloud and BigQuery integration
Git-based governance is excellent for data teams
Strong embedded analytics capabilities
Enterprise pricing — expensive for small teams
LookML has a significant learning curve
Google Cloud ecosystem dependency
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