Convex vs Supabase: which backend is better for you?

By Gerald · 7 June 2026

Connected document nodes beside a structured relational data grid, representing Convex and Supabase

Here is the short answer. Pick Convex if you are building a TypeScript app, want realtime behavior by default, and would rather write application logic than assemble backend plumbing. Pick Supabase if you want standard Postgres, direct SQL access, row level security, mature database tooling, or the freedom to move your data through the wider Postgres world.

Neither is better in every case.

I chose Convex for Flow because Flow is a React and TypeScript product where notes, tasks, captures and reminders need to update live alongside user state. Convex made that model simple. But if I were building a reporting system, a data-heavy business app, or anything that depended on SQL extensions and existing Postgres tools, I would probably choose Supabase.

That is the real Convex vs Supabase decision: application speed and reactive defaults on one side, database standards and ecosystem depth on the other.

Convex and Supabase start from different ideas

Supabase starts with Postgres. The database is the center of the system, then Supabase adds Auth, Storage, Realtime, Edge Functions, an API layer, and a dashboard around it. If you already understand relational databases, tables, SQL and policies, plus migrations, the model feels familiar.

Convex starts with your application. You define backend functions in TypeScript, store JSON-like documents in tables, and call typed queries and mutations from the client. Queries are reactive by default, so a screen can stay current without you building a separate websocket layer or cache invalidation scheme.

That difference shapes almost everything else.

Convex vs Supabase at a glance

	Convex	Supabase
Database	Document-relational database	PostgreSQL
Main backend language	TypeScript	SQL plus TypeScript Edge Functions
Realtime	Reactive queries by default	Broadcast or Postgres Changes
Transactions	Mutations are transactional by default	Standard Postgres transactions
Auth	Convex Auth or external providers	Built-in Supabase Auth
Authorization	Application logic in backend functions	Row level security plus application logic
Files	Built-in file storage	Supabase Storage
Tooling ecosystem	Convex and TypeScript focused	Full Postgres ecosystem
Self-hosting	Available through the open-source backend	Available through Docker
Best fit	Reactive TypeScript products	SQL, relational data, portability, broad tooling

The table makes Supabase look broader, because it is. The reason to pick Convex is not that it has more parts. It is that the parts you use every day fit together with less work.

Where Convex is better

Convex is at its best when the frontend and backend are one TypeScript system.

Realtime feels like the normal path

With Convex, a query is not just a one-time database read. The client subscribes to it, Convex tracks the data it depends on, and the result updates when that data changes. You do not manually decide which table events to listen for or how to refresh every affected screen.

That matters in a product like Flow. Move a task, edit a note, change a due date, or clear a capture, and the relevant interface updates. The live behavior is part of the query model rather than a feature bolted onto it later.

Supabase has strong Realtime support, and its current documentation recommends Broadcast for many scalable and secure cases. It can absolutely power collaborative and live products. The difference is that you make more choices about channels and events, plus policies and client updates. Convex makes more of those choices for you.

The TypeScript path is unusually direct

Convex queries and mutations, plus actions, are TypeScript functions. The generated API types flow into the React client, so changing a function argument or return shape produces useful errors in the rest of the app.

There is no separate SQL query layer to keep in your head. There is no generated REST endpoint to coordinate with frontend types. You still need to model data carefully, but the distance between a button click and the backend function it calls is short.

For a small team or solo builder, that speed is real.

Transactions are hard to misuse

Convex mutations are transactional by default. If a mutation reads several records and writes several records, the operation succeeds together or fails together. Convex handles concurrency through its transaction model.

Postgres also gives you excellent ACID transactions. Supabase does not lose here on database quality. The difference is the default developer path. In Convex, transactional application logic is the ordinary way mutations work. In Supabase, simple client operations are easy, but more involved transactional work often moves into SQL functions, database procedures, or server-side code.

Where Supabase is better

Supabase wins when the database needs to remain a standard, independently useful asset.

It is Postgres

This is the biggest point in the whole comparison.

Supabase gives you a real PostgreSQL database. You can use SQL, views, functions, triggers, extensions, joins, database clients, migration tools, reporting tools, and the large body of Postgres knowledge that already exists. If you hire a database engineer, they know what they are looking at.

Convex has tables, schemas, indexes, relationships through document IDs, and a capable query model. But it is not SQL and it is not Postgres. You model access around Convex functions and indexes rather than writing joins and handing the database to any standard SQL client.

If SQL is central to your product, choose Supabase.

Row level security is a serious advantage

Supabase Row Level Security lets the database enforce which rows a user may read or change. When policies are designed well, authorization sits close to the data and applies across direct API access.

Convex authorization usually lives inside your backend functions. That can be clean and easy to understand, especially in one TypeScript codebase, but the discipline is yours. Every public function needs the right identity and ownership checks.

Teams that already think in database policies may prefer Supabase immediately.

The wider ecosystem is hard to beat

Postgres connects to almost everything. Business intelligence tools, data importers, admin clients, GIS extensions, queues, search options, and years of operational knowledge are available.

Convex is more focused. That focus is why the day-to-day app experience is good, but it also means you are choosing the Convex way of doing things. There are data import and export tools, and the backend is open source and self-hostable, but moving a Convex application means more than pointing the same code at another document database.

Data modeling: documents or relational tables

Do not pick based on which model sounds more modern. Pick based on the questions your app asks.

Convex works well when your application usually loads records by ID, owner, status, date, or another known index. A task app is a good example: get this user's tasks, sorted by column and position. A notes app is similar: get notebooks for a user, then notes for a notebook.

Supabase is stronger when the interesting part is the relationship between many sets of data. Think financial reporting, inventory, analytics, multi-tenant business systems, or a product where people will keep inventing new queries after launch. SQL joins and views are made for that work.

You can build either kind of app on either platform. The question is how often you will fight the default model.

Auth and other backend features

Both platforms cover the normal backend checklist, but they package it differently.

Supabase includes Auth, Storage, Realtime and database APIs, plus Edge Functions, logs, and a polished dashboard. Auth and Storage connect naturally to Postgres policies. It feels like a collection of familiar infrastructure pieces under one account.

Convex includes database functions, scheduled functions, HTTP actions and file storage, plus search, logs, and authentication options. Convex Auth keeps auth in the same TypeScript world, while external providers are also supported.

For Flow, I use Convex for the application data and backend functions, Cloudinary for uploaded media, Resend for email, and Vercel for the frontend. That split is explained in the guide to self-hosted note-taking without running a server.

Supabase can replace more of those pieces under one roof. Whether that is cleaner depends on whether you want one broad platform or several focused services.

Convex vs Supabase pricing

Both have free tiers, and both move into usage-based costs as an app grows. Read the current Convex pricing and Supabase pricing pages before making a production budget, because quotas and included usage can change.

As of June 7, 2026, Convex Professional is listed at $25 per developer per month. Supabase Pro starts at $25 per organization per month, with project compute and usage billed under its plan model. Those numbers are not directly comparable because the units are different.

For a low-traffic personal app, one practical difference matters. Supabase documents that free projects with low activity may be paused after a seven-day period. Convex does not document the same inactivity pause for its free tier. That is one reason Convex suits a personal productivity app that someone may leave untouched for a week and expect to open instantly later.

For a busy production app, compare actual database size, bandwidth and function calls, then factor in compute, storage and team size. The cheapest free tier tells you very little about the bill at scale.

Self-hosting and lock-in

Both can be self-hosted. That does not make the lock-in question equal.

Supabase self-hosting runs the platform through Docker around Postgres and its supporting services. It gives you control, but you operate the stack. Your core data remains Postgres, which is a strong portability advantage even if you later stop using the rest of Supabase.

Convex has an open-source backend that you can run yourself. That is meaningful and gives the platform an exit path. But your application still depends on Convex functions, client libraries, reactive query behavior, and its database model. Exporting the data is not the same as moving the app.

If minimizing platform dependence is your top requirement, Supabase has the cleaner answer because Postgres is the center.

If avoiding operations is the requirement, use either hosted service under an account you own and accept that managed convenience always creates some platform dependence. The broader ownership tradeoff is covered in self-hosting notes without Docker.

Which one should you choose?

Pick Convex if:

Your app is mainly React or TypeScript.
Realtime screens are central to the product.
You want typed backend functions and fast iteration.
Your queries fit known access patterns and indexes.
You are a small team that wants fewer backend decisions.

Pick Supabase if:

You want Postgres and direct SQL access.
Your product has complex relational queries or reporting.
Row level security is central to your authorization model.
You need Postgres extensions or existing database tools.
Data portability and a broad hiring pool matter more than an opinionated workflow.

For many standard CRUD products, both will work. The deciding factor is not whether either one can store a task or a user. Of course they can. It is which set of tradeoffs you want to live with after the easy first week.

Why Flow uses Convex

Flow is a reactive TypeScript application before it is a database project. Most screens ask straightforward questions: which notes belong to this user, which tasks are in this column, which captures still need triage, and what changed since the screen opened.

Convex fits those questions well. It keeps the code in TypeScript, updates screens live, makes mutations transactional, and avoids an inactivity pause on the hosted free tier. It lets me spend more time on the product and less time joining infrastructure pieces.

Supabase would still be a valid foundation. It would give Flow standard Postgres, strong RLS, and easier access from external data tools. The cost would be a meaningful backend migration and more explicit realtime wiring.

So yes, Flow can move to Supabase. No, it is not a switch in a settings panel. The data layer, auth integration, server functions, and realtime behavior would need to be rebuilt around Supabase.

That is possible. It is just work.

Frequently asked questions

Is Convex better than Supabase? Convex is better for many reactive TypeScript apps because realtime queries, typed backend functions, and transactions work together by default. Supabase is better when you need Postgres, SQL, RLS, extensions, or broad database tooling.

Is Supabase more scalable than Convex? Both are built for production workloads. Supabase gives you more familiar Postgres scaling and tuning paths. Convex manages more of the system for you. The better choice depends on workload shape, not a simple winner.

Does Convex use PostgreSQL? No. Convex uses its own document-relational database and query model. Supabase is built around PostgreSQL.

Can I self-host Convex and Supabase? Yes. Both publish self-hosting paths. Supabase uses a Docker-based stack around Postgres. Convex publishes its backend source and self-hosting instructions. In both cases, you become responsible for operations.

Is Supabase cheaper than Convex? Not automatically. Their paid plans use different units, and real cost depends on developers, compute, storage, bandwidth, function calls, and traffic. Model your expected usage instead of comparing only the first paid price.

Why does Flow use Convex instead of Supabase? Flow is a TypeScript app with live notes and task updates, so Convex's reactive queries and typed functions fit the product well. Supabase remains a good option for buyers who value Postgres enough to fund the migration.