Convex vs Supabase AI
Side-by-side comparison to help you choose the best tool.
Convex
freemiumConvex is a fullstack TypeScript cloud backend for reactive applications, providing a database, serverless functions, file storage, and real-time subscriptions in one platform. Its developer-friendly approach with full TypeScript, automatic query caching, and built-in vector search make it popular for building AI applications with real-time reactivity.
Supabase AI
freemiumSupabase is an open-source Firebase alternative providing a Postgres database, authentication, storage, and edge functions - with pgvector integration enabling vector storage for AI applications. Its AI features include pgvector-powered semantic search, Supabase AI (integrated IDE assistant), and Vector indexes for RAG pipelines. The most popular open-source backend for AI applications.
| Feature | Convex | Supabase AI |
|---|---|---|
| Pricing | freemium | freemium |
| Category | - | - |
| Rating | 4.4 | 4.6 |
| Best For | TypeScript developers building real-time AI applications who want a backend that handles database, functions, and vector search in one reactive system | Developers building AI applications who want an open-source backend with Postgres, auth, storage, and vector search in one platform |
| Views | 63 | 62 |
Pros
- End-to-end TypeScript with automatic type safety
- Real-time reactivity without polling
- Built-in vector search for AI apps
Cons
- JavaScript/TypeScript only
- Less flexible than Supabase for SQL power users
Pros
- Best open-source backend for AI apps
- pgvector makes Postgres a vector database
- Free tier is extremely generous
Cons
- Less scalable than dedicated vector DBs for billions of vectors
- Not always the best choice for pure vector workloads
- Fullstack TypeScript backend
- Real-time reactive queries
- Built-in vector search
- Serverless functions
- Automatic caching
- pgvector for AI embeddings
- Semantic search via Postgres
- Edge Functions for AI logic
- Real-time subscriptions
- Open-source & self-hostable