Langfuse vs Sentry — Which One Wins?
A detailed, side-by-side comparison of Langfuse and Sentry 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. Sentry (4.2) is the better pick if you need dev teams needing error tracking.
Side-by-Side Comparison
| Criteria | Langfuse | Sentry |
|---|---|---|
| Rating | ★★★★★ 4.5(54) | ★★★★ 4.2(19) |
| Pricing Model | open_source | freemium |
| Starter Price | $59/mo | $26/mo |
| Free Tier | No | No |
| Platforms | Web | Web |
| Learning Curve | moderate | moderate |
| API Available | Yes | Yes |
| Best For | AI engineering teams that need observability into their LLM application performance and costs | Dev teams needing error tracking |
| Verdict | recommended | recommended |
Feature Checklist
| Feature | Langfuse | Sentry |
|---|---|---|
| LLM tracing and debugging | — | |
| Cost tracking | — | |
| Prompt management | — | |
| Evaluation framework | — | |
| Analytics dashboard | — | |
| Self-hosting option | — | |
| Error tracking | — | |
| Performance | — | |
| Session replay | — | |
| Releases | — | |
| Workflows | — | |
| Multi-platform | — |
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
Sentry
Pros
- ✓Industry leading
- ✓Session replay
- ✓Good free tier
- ✓Multi-platform
Cons
- ✕Noisy without tuning
- ✕APM less deep
- ✕Event pricing
The Bottom Line
Both Langfuse and Sentry are solid tools in the Analytics & Data space. Langfuse edges ahead with a stronger overall rating (4.5 vs 4.2) and is the better choice for ai engineering teams that need observability into their llm application performance and costs. However, if you prioritize dev teams needing error tracking, Sentry is worth serious consideration. We recommend trying the free tier or trial of each before committing.