Two Different Philosophies

Convex and Supabase both aim to simplify backend development, but they start from fundamentally different places.

Convex is a reactive-first backend platform where everything — queries, mutations, subscriptions — is written in TypeScript and automatically stays in sync with your frontend. There is no REST layer, no SQL, and no manual cache invalidation. You write functions, and the platform handles reactivity, caching, and consistency for you. It is designed for applications where live data is the default, not an afterthought.

Supabase is a Postgres-first platform that wraps PostgreSQL with auth, storage, real-time channels, and edge functions to create an open-source Firebase alternative. It gives you a full relational database with a modern developer experience layered on top, including auto-generated APIs, a visual dashboard, and client libraries for every major framework.

The choice between them comes down to whether you want a purpose-built reactive engine or the power and portability of PostgreSQL with batteries included.

Both platforms handle auth, storage, and serverless functions — but the underlying architecture shapes everything from how you model data to how you deploy and scale.

Quick Comparison

Feature	Convex	Supabase
Database	Document-based (custom engine)	PostgreSQL
Query language	TypeScript functions	SQL / REST / GraphQL
Real-time	Built-in reactive queries	Realtime channels (CDC)
Type safety	End-to-end, automatic	With codegen tools
Auth	Integrates with Clerk, Auth0	Built-in (GoTrue)
Storage	Built-in file storage	Built-in object storage
Backend logic	Server functions (actions, mutations)	Edge Functions + SQL
Access control	Function-level logic	Row-Level Security (RLS)
Hosting	Managed only	Managed or self-hosted
Open source	Partially (client SDKs)	Fully open source
Pricing	Usage-based	Tier-based with free tier
Portability	Vendor-specific	Standard PostgreSQL
Ecosystem	Growing, TypeScript-focused	Large, Postgres-compatible

Data Model

Convex uses a document database with a custom storage engine. You define your schema in TypeScript and interact with data exclusively through query and mutation functions — there is no SQL layer. Relationships are handled through document references rather than foreign keys and joins.

This makes the mental model simpler for JavaScript developers who think in objects rather than tables. Schema validation happens at the TypeScript level, and the type system flows from your schema definition all the way to your React components.

The tradeoff is significant: you cannot bring existing SQL knowledge, use standard database tooling, or migrate easily to another provider. Your data model is tightly coupled to the Convex platform. If Convex changes pricing or shuts down, migration requires rewriting your entire data layer.

Supabase gives you a full PostgreSQL database with tables, foreign keys, joins, views, indexes, triggers, stored procedures, and the entire SQL ecosystem. You can use the Supabase client library for convenience or connect directly with any Postgres driver or ORM.

Complex queries that would require multiple round trips in a document database are a single SQL statement. You also get access to the rich extension ecosystem — PostGIS for geospatial data, pg_vector for embeddings, pg_cron for scheduled jobs.

If you already know SQL or need complex relational queries, Supabase lets you use that knowledge immediately. For a quick reference on common operations, see our PostgreSQL cheat sheet.

Real-Time

Real-time is where Convex truly differentiates itself. Every query in Convex is reactive by default — when underlying data changes, connected clients receive updates automatically with no additional configuration.

There is no pub/sub setup, no channel management, and no polling. The platform handles caching and invalidation internally, so your UI always reflects the current state of the database. Building a collaborative document editor or a live dashboard requires no extra infrastructure. You write a query, use it in a component, and it stays up to date.

The automatic caching layer also means repeated reads are fast without you managing a cache separately. Convex tracks dependencies between queries and data, invalidating only what needs to change.

Supabase offers real-time through its Realtime service, which uses PostgreSQL’s change data capture (CDC) to broadcast row-level changes over WebSocket channels. You subscribe to specific tables or filters and receive insert, update, and delete events.

It works well but requires explicit subscription management. You decide what to listen to, how to reconcile incoming changes with your local state, and how to handle reconnection scenarios. The real-time layer is an add-on rather than a foundational primitive.

For apps where every component needs live data — collaborative editors, multiplayer games, real-time dashboards — Convex’s approach requires significantly less boilerplate. For apps where only specific features need real-time updates — notifications, chat widgets, activity feeds — Supabase’s channel model is straightforward and avoids the overhead of making everything reactive.

Backend Logic

Convex replaces traditional API servers entirely. You write server functions in TypeScript:

• Queries — read-only functions that are automatically cached and reactive
• Mutations — write functions with serializable transactions
• Actions — side effects like calling external APIs, sending emails, or processing payments

These run on Convex’s infrastructure with automatic retries, optimistic updates, and consistent ordering. There is no REST layer to build, no endpoint routing, and no deployment pipeline to manage separately.

Supabase takes a more modular approach. Your primary data access goes through the auto-generated REST and GraphQL APIs powered by PostgREST. For custom logic beyond CRUD, you deploy Edge Functions written in TypeScript that run on Deno at the edge.

Access control is handled at the database level through Row-Level Security policies. Your security rules live in SQL alongside your schema, which means they are enforced regardless of how data is accessed — through the API, edge functions, or direct database connections.

The Convex model is more cohesive. Everything is TypeScript, everything runs in one place, and the type system flows from database schema to client component without gaps.

The Supabase model is more flexible. You can use RLS without edge functions, use edge functions without real-time, or swap out individual pieces. This modularity means you can gradually adopt Supabase features without committing to the full platform, and you can always fall back to raw Postgres if needed.

When to Use Convex

• Your app is inherently real-time — collaborative tools, live dashboards, multiplayer experiences
• You want end-to-end TypeScript with no context switching to SQL
• You prefer colocating backend logic with your data layer in a single codebase
• Automatic caching and reactivity matter more than SQL flexibility
• You are building a greenfield project without existing database infrastructure
• Your team is JavaScript/TypeScript-native and prefers functions over queries
• You want optimistic updates and transactional consistency without manual implementation

When to Use Supabase

• You want PostgreSQL and the ability to self-host or migrate to another provider later
• Your team already knows SQL and wants to leverage relational modeling
• You need Row-Level Security for fine-grained, declarative access control
• You want built-in auth without integrating a third-party service
• You are building a more traditional CRUD application with selective real-time features
• Portability and avoiding vendor lock-in are priorities
• You want to use existing Postgres extensions (PostGIS, pg_vector, pg_cron)
• You need to connect multiple services to the same database

Compare Supabase with other platforms: Supabase vs Firebase covers the Firebase migration path, and Neon vs Supabase compares two serverless Postgres options.

Verdict

Convex is the better choice when real-time reactivity is central to your application and you want a fully integrated TypeScript backend with zero configuration for live updates. It removes an entire category of complexity — caching, subscriptions, API routing, state synchronization — but ties you to its platform with limited escape hatches.

Supabase is the better choice when you want the power of PostgreSQL, the flexibility to self-host, and a modular set of backend services you can adopt incrementally. It is more portable, has a larger ecosystem, and gives you standard tooling that works beyond the platform.

For most teams building standard web applications, Supabase offers a more familiar and flexible foundation. For teams building highly interactive, real-time-heavy applications in TypeScript, Convex delivers a smoother developer experience with less glue code.

Neither is universally better — they solve different problems with different tradeoffs. Consider your team’s SQL expertise, your real-time requirements, and how much you value portability before committing.

If you are prototyping quickly and want instant reactivity, start with Convex. If you are building for the long term and want infrastructure you fully control, start with Supabase.

FAQ

Is Convex better than Supabase?

It depends on your use case. Convex is better for real-time-heavy applications where automatic reactivity and end-to-end TypeScript are priorities. Supabase is better for projects that need the power of PostgreSQL, SQL flexibility, and the option to self-host.

Is Convex free?

Convex offers a free tier with usage-based limits that works well for prototyping and small projects. Beyond the free tier, pricing scales based on function calls, storage, and bandwidth usage.

Can I self-host Convex?

No, Convex is a managed-only platform — there is no self-hosted option. If owning your infrastructure is a requirement, Supabase or another open-source backend may be a better fit.

Is Supabase open source?

Yes, Supabase is fully open source under the Apache 2.0 license. You can self-host the entire platform using Docker Compose, including the database, auth, storage, and real-time services.

Related: What is Supabase? · Supabase vs Firebase · Neon vs Supabase · PostgreSQL Cheat Sheet