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Langfuse vs Umami — Which One Wins?

A detailed, side-by-side comparison of Langfuse and Umami to help you pick the right tool for your workflow.

TLDR

Quick Verdict

Langfuse takes the lead with a 4.5 rating and is best for ai engineering teams that need observability into their llm application performance and costs. Umami (4.4) is the better pick if you need developers who want free self-hosted analytics.

Side-by-Side Comparison

CriteriaLangfuseUmami
Rating★★★★★ 4.5(54)★★★★ 4.4(57)
Pricing Modelopen_sourceopen-source
Starter Price$59/mo$9/mo (cloud)
Free TierNoYes
PlatformsWebweb, docker
Learning Curvemoderatemedium
API AvailableYesYes
Best ForAI engineering teams that need observability into their LLM application performance and costsDevelopers who want free self-hosted analytics
Verdictrecommendedrecommended

Feature Checklist

FeatureLangfuseUmami
LLM tracing and debugging
Cost tracking
Prompt management
Evaluation framework
Analytics dashboard
Self-hosting option
Self-hostable
Privacy-focused
Custom events
Multiple websites
Realtime dashboard

Langfuse

Pros

  • Open-source and self-hostable
  • Excellent tracing
  • Cost tracking per request
  • Good evaluation framework

Cons

  • Only useful for LLM apps
  • Requires integration effort
  • Analytics depth still improving

Umami

Pros

  • Free and open source
  • Beautiful clean UI
  • Easy to self-host

Cons

  • Self-hosting requires technical skill
  • Fewer features than GA
  • Cloud tier is limited

The Bottom Line

Both Langfuse and Umami are solid tools in the Analytics & Data space. Langfuse edges ahead with a stronger overall rating (4.5 vs 4.4) and is the better choice for ai engineering teams that need observability into their llm application performance and costs. However, if you prioritize developers who want free self-hosted analytics, Umami is worth serious consideration. We recommend trying the free tier or trial of each before committing.

Frequently Asked Questions

Is Langfuse better than Umami?
Langfuse scores higher overall with a 4.5 rating vs 4.4. However, the best choice depends on your specific needs. Langfuse is best for AI engineering teams that need observability into their LLM application performance and costs, while Umami is best for Developers who want free self-hosted analytics.
Can I switch from Langfuse to Umami?
Yes, most users can migrate between the two. Umami offers a free tier to test before committing.
Which is more affordable, Langfuse or Umami?
Langfuse starts at $59/mo, while Umami starts at $9/mo (cloud). Umami offers a free tier.