Supabase vs Convex
Supabase and Convex are both backend platforms that solo founders use to ship SaaS products fast, but they make fundamentally different bets. Supabase wraps PostgreSQL with a developer-friendly API layer — you get a real relational database with SQL power, built-in auth, file storage, and edge functions. Convex is a reactive backend where your data, functions, and real-time subscriptions are all TypeScript-first and automatic. Your choice depends on whether you think in SQL or in functions.
Architecture: SQL Database vs Reactive Backend
Supabase gives you a full PostgreSQL instance. You write SQL (or use the auto-generated REST/GraphQL APIs), and Supabase adds auth, storage, edge functions, and a dashboard on top. Under the hood, it's Postgres — you get joins, indexes, migrations, and the entire SQL ecosystem.
Convex replaces the traditional database with a reactive document store. You define your schema in TypeScript, write query and mutation functions in TypeScript, and the client automatically subscribes to changes. There's no SQL layer — your backend logic and data model are pure TypeScript code with end-to-end type safety.
The practical difference: Supabase projects feel like traditional web apps with a managed database. Convex projects feel like everything is a live, reactive function.
Feature Comparison
| Feature | Supabase | Convex |
|---|---|---|
| Database | PostgreSQL (relational, SQL) | Reactive document store (TypeScript-native) |
| Real-time | Subscription on Postgres changes (manual setup) | Built-in automatic reactivity (no setup) |
| Auth | Built-in (50K MAUs free, 100K on Pro) | Integrations with Clerk, Auth0 |
| File storage | 1 GB free, 100 GB on Pro | Included (usage-based) |
| Functions | Edge Functions (JS/TypeScript) | Server functions with transactions, scheduling |
| Type safety | Generated types from schema | End-to-end TypeScript (schema to client) |
| Search | Full-text search via Postgres | Built-in full-text search |
| Self-hosting | Yes (open source, Docker) | Yes (Docker or binary) |
| AI/vector | pgvector extension for embeddings | Integrated AI workflows |
Pricing for Solo Founders
Both platforms offer free tiers generous enough to build and validate an MVP.
| Plan | Supabase | Convex |
|---|---|---|
| Free | 2 projects, 500 MB database, 1 GB storage, 50K auth MAUs | Developer plan with resource limits, 40 deployments |
| Pro | $25/mo — 8 GB database, 100 GB storage, 100K MAUs, daily backups | Per-seat flat fee + usage overages |
| Team/Business | $599/mo (SOC 2, priority support) | Enterprise pricing |
Cost predictability: Supabase's Pro plan is a flat $25/month with clear limits. Convex uses per-seat pricing with usage-based overages, which can be less predictable as you scale. For a solo founder, both are comparable at the $25/month starting tier.
Scaling costs: Supabase can get expensive if your database grows large (storage is the main cost driver). Convex costs scale with compute and bandwidth from function executions. For read-heavy apps, Convex's caching helps control costs. For storage-heavy apps, Supabase's explicit storage tiers are easier to plan around.
Real-Time: Where Convex Wins
If your product needs real-time features — live dashboards, collaborative editing, chat, multiplayer — Convex has a structural advantage. Real-time is built into the core architecture. Every query is a live subscription by default. When data changes, connected clients update automatically through the same WebSocket channel used for reads and writes.
Supabase supports real-time through PostgreSQL change subscriptions, but it requires more setup. You need to explicitly subscribe to table changes, handle reconnection logic, and manage the real-time channel alongside your regular API calls. It works, but it's not the default path.
SQL Power: Where Supabase Wins
If your data model is relational — users have organizations, organizations have projects, projects have tasks — Supabase gives you the full power of PostgreSQL. Joins, window functions, CTEs, indexes, materialized views, stored procedures. You can write complex queries that would be verbose or impossible in a document store.
Supabase also has a broader ecosystem. PostgreSQL extensions (pgvector for AI embeddings, PostGIS for geospatial, pg_cron for scheduled jobs) snap in without leaving the platform. The community is massive, and StackOverflow has answers for every edge case.
Convex handles relational-like patterns through document references and server-side joins in TypeScript functions. It works for most SaaS data models, but complex analytical queries are harder to express than in SQL.
TypeScript Developer Experience
Convex is the better experience for TypeScript developers. Your schema, backend functions, and client queries are all TypeScript with full type inference. Change a field in your schema and your IDE immediately flags every place that references it. There's no impedance mismatch between your data layer and your application code.
Supabase generates TypeScript types from your database schema, which gives you type safety on the client side. But the backend logic (edge functions, database functions) doesn't share the same type chain. You're writing TypeScript on the client and SQL in the database, with generated types bridging the gap.
Auth and User Management
Supabase ships a complete auth system out of the box: email/password, magic links, OAuth providers (Google, GitHub, Apple), phone auth, and row-level security policies tied to authenticated users. The free tier supports 50,000 monthly active users — more than enough for most early-stage products.
Convex integrates with third-party auth providers like Clerk and Auth0 rather than building its own. This gives you flexibility (Clerk's UI components are excellent), but adds another dependency and potential cost. Clerk's free tier covers 10,000 MAUs — generous, but less than Supabase's built-in auth.
When to Choose Supabase
- Your data model is relational (users → organizations → resources)
- You want SQL access and the PostgreSQL ecosystem
- You need generous built-in auth (50K MAUs free)
- File storage is a core feature (user uploads, media)
- You prefer open source with self-hosting as a fallback
- You're comfortable with SQL and want maximum control over queries
When to Choose Convex
- Your product is real-time first (collaborative tools, live dashboards, chat)
- You're a TypeScript developer who wants end-to-end type safety
- You want automatic reactivity without managing subscriptions
- Your backend logic is function-heavy (scheduled jobs, AI workflows, complex mutations)
- You prefer writing TypeScript over SQL for everything
- You're building with React/Next.js and want tight framework integration
For the Solo Founder Building a SaaS
If you're choosing one backend to build your first product:
Start with Supabase if you're building a standard SaaS (dashboards, CRUD, user management, file uploads). PostgreSQL is the safe bet — it handles almost any data model, the community is enormous, and you'll never outgrow it. The $25/month Pro plan covers most early-stage needs.
Start with Convex if your product's core value is real-time or collaborative. Building real-time on top of a traditional database always feels like you're fighting the architecture. Convex makes it the default, and the TypeScript-first experience means fewer bugs at the data boundary.
Both platforms can handle the other's strengths — Supabase can do real-time, Convex can model relational data. But each is optimized for its primary use case, and fighting the grain adds complexity you don't need when you're shipping alone.