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AI Tool Comparison
Helicone vs Supabase
A side-by-side breakdown to help you pick the right tool for your workflow.
Helicone
Track and debug every LLM API call, with visibility into cost, latency, and errors across an AI application — hosted or self-hosted open source.
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
Supabase edges ahead on rating (4.7 vs 4.5), but the right pick still comes down to which workflow you're running.
Choose Helicone if…
LLM Observability
Choose Supabase if…
Backend Development
| Attribute | Helicone | Supabase |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free (10K requests) / $79/mo Pro / $799/mo Team | Free / $25/mo Pro / $599/mo Team |
| Rating |
Key Features
Helicone
- Proxy-based setup, one line of code
- Cost and latency dashboards
- Prompt versioning
- Caching to reduce API costs
- A/B testing models
- Team dashboards
Supabase
- Postgres database
- Built-in authentication
- File storage
- pgvector for semantic search
- Edge functions
- Real-time subscriptions
Pros
Helicone
- •Fastest observability setup in the category, no SDK required
- •Significant cost savings from intelligent caching
- •Works with all major LLM providers
Supabase
- •Generous free tier for prototyping and small apps
- •pgvector eliminates need for a separate vector DB
- •Open-source with strong community
Cons
Helicone
- Proxy adds a small latency overhead
- Less evaluation depth than Langfuse or Braintrust
Supabase
- Postgres expertise helpful for advanced use
- Free tier has project pause after inactivity