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.
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 (3.5) is the better pick if you need devs wanting free self-hosted analytics.
Side-by-Side Comparison
| Criteria | Langfuse | Umami |
|---|---|---|
| Rating | ★★★★★ 4.5(54) | ★★★★ 3.5(10) |
| Pricing Model | open_source | open_source |
| Starter Price | $59/mo | $9/mo |
| Free Tier | No | No |
| Platforms | Web | Web |
| Learning Curve | moderate | easy |
| API Available | Yes | Yes |
| Best For | AI engineering teams that need observability into their LLM application performance and costs | Devs wanting free self-hosted analytics |
| Verdict | recommended | recommended |
Feature Checklist
| Feature | Langfuse | Umami |
|---|---|---|
| LLM tracing and debugging | — | |
| Cost tracking | — | |
| Prompt management | — | |
| Evaluation framework | — | |
| Analytics dashboard | — | |
| Self-hosting option | — | |
| Open-source | — | |
| Self-hosted | — | |
| No cookies | — | |
| Events | — | |
| Team dashboards | — | |
| Multi-site | — |
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 self-hosted
- ✓Clean dash
- ✓No cookies
- ✓Easy
Cons
- ✕Self-hosting required
- ✕Limited advanced
- ✕Smaller community
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 3.5) and is the better choice for ai engineering teams that need observability into their llm application performance and costs. However, if you prioritize devs wanting free self-hosted analytics, Umami is worth serious consideration. We recommend trying the free tier or trial of each before committing.