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AI Tool Comparison
Haystack vs Langfuse
A side-by-side breakdown to help you pick the right tool for your workflow.
Haystack
Build modular, production-ready LLM pipelines and agents covering retrieval, RAG, and semantic search — open source, backed by deepset's commercial platform for managed deployment.
Developer Tools
free
Langfuse
Trace and score LLM application runs so teams can debug agent behavior and track cost per user or session.
Developer Tools
freemium
Bottom Line
Langfuse edges ahead on rating (4.7 vs 4.3), but the right pick still comes down to which workflow you're running.
Choose Haystack if…
Developer Tools
Choose Langfuse if…
LLM Observability
| Attribute | Haystack | Langfuse |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | free | freemium |
| Pricing Detail | Free (open source) / deepset Studio free tier / Enterprise custom | Free (50K units) / $29/mo Core / $199/mo Pro |
| Rating |
Key Features
Haystack
- Composable pipelines
- RAG and semantic search
- Model and DB agnostic
- Production-focused
Langfuse
- Full LLM call tracing
- Prompt version management
- User session tracking
- Cost and latency analytics
- Evaluation datasets
- Self-hostable
Pros
Haystack
- •Clean pipeline design
- •Production-ready
- •Strong search heritage
Langfuse
- •One of the best open-source options in LLM observability
- •Works with any LLM provider
- •Eval framework helps catch quality regressions early
Cons
Haystack
- Smaller community than LangChain
- Setup for advanced flows
Langfuse
- Setup requires SDK integration in your codebase
- Dashboard can feel complex for simple use cases