Dynamic

Plausible vs Prometheus

Google Analytics for people who hate tracking, complexity, and privacy violations meets the time-series king for monitoring, if you don't mind writing queries that look like alien hieroglyphics. Here's our take.

🧊Nice Pick

Plausible

Google Analytics for people who hate tracking, complexity, and privacy violations.

Plausible

Nice Pick

Google Analytics for people who hate tracking, complexity, and privacy violations.

Pros

  • +Privacy-first
  • +No cookies
  • +Simple UI
  • +EU-hosted option
  • +Privacy-first design with no cookies or personal data collection
  • +Lightweight and fast, adding minimal load to your site
  • +Simple, intuitive dashboard that shows exactly what you need
  • +Open-source and transparent, so you can self-host or audit the code

Cons

  • -Less detailed
  • -No funnels
  • -Pricier for high traffic
  • -Limited advanced features compared to giants like Google Analytics
  • -Smaller ecosystem and fewer integrations with other tools

Prometheus

The time-series king for monitoring, if you don't mind writing queries that look like alien hieroglyphics.

Pros

  • +Powerful multi-dimensional data model with labels for flexible metric organization
  • +PromQL query language allows for complex, real-time data analysis and alerting
  • +Open-source and integrates seamlessly with Kubernetes and other cloud-native tools

Cons

  • -Long-term storage is a pain, often requiring external solutions like Thanos or Cortex
  • -Steep learning curve for PromQL, making it tricky for beginners to master

The Verdict

Use Plausible if: You want privacy-first and can live with less detailed.

Use Prometheus if: You prioritize powerful multi-dimensional data model with labels for flexible metric organization over what Plausible offers.

🧊
The Bottom Line
Plausible wins

Google Analytics for people who hate tracking, complexity, and privacy violations.

Disagree with our pick? nice@nicepick.dev