Amplitude vs Looker — Which One Wins?
A detailed, side-by-side comparison of Amplitude and Looker to help you pick the right tool for your workflow.
Quick Verdict
Amplitude takes the lead with a 4.3 rating and is best for enterprise product teams needing sophisticated behavioral analytics and experimentation.. Looker (4.1) is the better pick if you need data teams needing governed, consistent metrics with a semantic modeling layer..
Side-by-Side Comparison
| Criteria | Amplitude | Looker |
|---|---|---|
| Rating | ★★★★ 4.3(178) | ★★★★ 4.1(134) |
| Pricing Model | freemium | paid |
| Starter Price | $49/mo (Growth) | Custom pricing |
| Free Tier | Yes | Yes |
| Platforms | web | web |
| Learning Curve | hard | hard |
| API Available | Yes | Yes |
| Best For | Enterprise product teams needing sophisticated behavioral analytics and experimentation. | Data teams needing governed, consistent metrics with a semantic modeling layer. |
| Verdict | situational | situational |
Feature Checklist
| Feature | Amplitude | Looker |
|---|---|---|
| Behavioral cohort analysis | — | |
| Funnel and retention analysis | — | |
| Pathfinder (user journey mapping) | — | |
| Built-in A/B testing (Experiment) | — | |
| Customer data platform | — | |
| Predictive analytics | — | |
| LookML semantic modeling layer | — | |
| Governed metric definitions | — | |
| Explores for self-serve analysis | — | |
| Embedded analytics | — | |
| Google Cloud/BigQuery integration | — | |
| API-first architecture | — |
Amplitude
Pros
- ✓Most sophisticated behavioral analytics available
- ✓Integrated A/B testing connects experiment to analysis
- ✓50M events/month free tier is extremely generous
Cons
- ✕Enterprise pricing is significant
- ✕More complex than Mixpanel for standard analysis
- ✕Requires data engineering investment for full value
Looker
Pros
- ✓LookML ensures metric consistency across the organization
- ✓Explores provide governed self-serve analytics
- ✓Deep Google Cloud and BigQuery integration
Cons
- ✕Enterprise-only pricing (typically $5K+/month)
- ✕LookML requires data engineering investment
- ✕Google acquisition has created uncertainty about product direction
The Bottom Line
Both Amplitude and Looker are solid tools in the Analytics & Data space. Amplitude edges ahead with a stronger overall rating (4.3 vs 4.1) and is the better choice for enterprise product teams needing sophisticated behavioral analytics and experimentation.. However, if you prioritize data teams needing governed, consistent metrics with a semantic modeling layer., Looker is worth serious consideration. We recommend trying the free tier or trial of each before committing.