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AI Tool Comparison
Langfuse vs Supabase
A side-by-side breakdown to help you pick the right tool for your workflow.
Langfuse
Trace and score LLM application runs so teams can debug agent behavior and track cost per user or session.
Developer Tools
freemium
Supabase
Get a Postgres database, auth, storage, and edge functions in one backend, with an AI Assistant and MCP integrations, so small teams ship apps without managing infrastructure.
Developer Tools
freemium
Bottom Line
Langfuse and Supabase are rated evenly — the right pick comes down to which workflow you're running.
Choose Langfuse if…
LLM Observability
Choose Supabase if…
Backend Development
| Attribute | Langfuse | Supabase |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free (50K units) / $29/mo Core / $199/mo Pro | Free / $25/mo Pro / $599/mo Team |
| Rating |
Key Features
Langfuse
- Full LLM call tracing
- Prompt version management
- User session tracking
- Cost and latency analytics
- Evaluation datasets
- Self-hostable
Supabase
- Postgres database
- Built-in authentication
- File storage
- pgvector for semantic search
- Edge functions
- Real-time subscriptions
Pros
Langfuse
- •One of the best open-source options in LLM observability
- •Works with any LLM provider
- •Eval framework helps catch quality regressions early
Supabase
- •Generous free tier for prototyping and small apps
- •pgvector eliminates need for a separate vector DB
- •Open-source with strong community
Cons
Langfuse
- Setup requires SDK integration in your codebase
- Dashboard can feel complex for simple use cases
Supabase
- Postgres expertise helpful for advanced use
- Free tier has project pause after inactivity