Amplitude vs Looker
The product analytics darling that makes you feel like a data wizard, until you realize you're just tracking clicks meets the bi platform that makes data modeling feel like a full-time job, but at least the dashboards look pretty. Here's our take.
Amplitude
The product analytics darling that makes you feel like a data wizard, until you realize you're just tracking clicks.
Amplitude
Nice PickThe product analytics darling that makes you feel like a data wizard, until you realize you're just tracking clicks.
Pros
- +Intuitive funnel and retention analysis that actually helps you spot user drop-offs
- +Powerful user segmentation that lets you slice data by behavior without SQL
- +Real-time event tracking that updates dashboards faster than you can say 'A/B test'
- +Great for non-technical teams with drag-and-drop tools that don't require a data engineer
Cons
- -Pricing can skyrocket as your event volume grows, leading to sticker shock
- -Custom queries and advanced analytics still need workarounds or external tools
Looker
The BI platform that makes data modeling feel like a full-time job, but at least the dashboards look pretty.
Pros
- +Powerful LookML modeling language for reusable, version-controlled data definitions
- +Seamless integration with modern data warehouses like BigQuery and Snowflake
- +Self-service analytics that empowers non-technical users to build custom reports
Cons
- -Steep learning curve for LookML, requiring dedicated data engineers or analysts
- -Pricing can be prohibitive for small teams, with enterprise-focused costs
The Verdict
Use Amplitude if: You want intuitive funnel and retention analysis that actually helps you spot user drop-offs and can live with pricing can skyrocket as your event volume grows, leading to sticker shock.
Use Looker if: You prioritize powerful lookml modeling language for reusable, version-controlled data definitions over what Amplitude offers.
The product analytics darling that makes you feel like a data wizard, until you realize you're just tracking clicks.
Disagree with our pick? nice@nicepick.dev