Grafana vs Langfuse — Which One Wins?
A detailed, side-by-side comparison of Grafana and Langfuse 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. Grafana (4.5) is the better pick if you need devops teams needing beautiful, customizable dashboards for any data source..
Side-by-Side Comparison
| Criteria | Grafana | Langfuse |
|---|---|---|
| Rating | ★★★★ 4.5(234) | ★★★★★ 4.5(54) |
| Pricing Model | open_source | open_source |
| Starter Price | $29/mo (Cloud Pro) | $59/mo |
| Free Tier | Yes | No |
| Platforms | web, linux, mac, windows | Web |
| Learning Curve | hard | moderate |
| API Available | Yes | Yes |
| Best For | DevOps teams needing beautiful, customizable dashboards for any data source. | AI engineering teams that need observability into their LLM application performance and costs |
| Verdict | recommended | recommended |
Feature Checklist
| Feature | Grafana | Langfuse |
|---|---|---|
| Universal data source connectivity (150+) | — | |
| Beautiful, customizable dashboards | — | |
| Alerting and notifications | — | |
| Grafana Cloud (hosted observability stack) | — | |
| Plugin ecosystem | — | |
| Open source and self-hostable | — | |
| LLM tracing and debugging | — | |
| Cost tracking | — | |
| Prompt management | — | |
| Evaluation framework | — | |
| Analytics dashboard | — | |
| Self-hosting option | — |
Grafana
Pros
- ✓Connects to 150+ data sources for unified dashboards
- ✓Free self-hosted with no feature limitations
- ✓Most customizable dashboard visualizations available
Cons
- ✕Requires technical knowledge to configure effectively
- ✕Self-hosting requires infrastructure management
- ✕Not a monitoring tool itself — needs data sources
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
The Bottom Line
Both Grafana and Langfuse are solid tools in the Analytics & Data space. Langfuse edges ahead with a stronger overall rating (4.5 vs 4.5) and is the better choice for ai engineering teams that need observability into their llm application performance and costs. However, if you prioritize devops teams needing beautiful, customizable dashboards for any data source., Grafana is worth serious consideration. We recommend trying the free tier or trial of each before committing.