Matomo vs Plausible Analytics

Developers should learn Matomo when building or maintaining websites that require privacy-compliant, self-hosted analytics without relying on third-party services meets developers should use plausible analytics when building websites or applications that require privacy-compliant, non-intrusive analytics without the complexity of traditional tools. Here's our take.

Matomo

Nice Pick

Developers should learn Matomo when building or maintaining websites that require privacy-compliant, self-hosted analytics without relying on third-party services

Pros

• It is particularly useful for projects in regulated industries (e
• Related to: web-analytics, data-privacy

Cons

• Specific tradeoffs depend on your use case

Plausible Analytics

Developers should use Plausible Analytics when building websites or applications that require privacy-compliant, non-intrusive analytics without the complexity of traditional tools

Pros

• It's ideal for projects prioritizing user privacy, such as blogs, SaaS platforms, or public sector sites, and for developers who prefer open-source, self-hosted solutions to avoid vendor lock-in
• Related to: web-analytics, privacy-compliance

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Matomo is a platform while Plausible Analytics is a tool. We picked Matomo based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Matomo wins

Based on overall popularity. Matomo is more widely used, but Plausible Analytics excels in its own space.