Supabase vs Convex, which database wins for your brief, in 2026
Two serverless databases, side by side. Supabase is postgres-based platform: database, auth, storage, edge functions, realtime, vectors. open source. Convex is js-first reactive database, functions are the api, real-time queries by default. The verdict, the criteria, and the honest take below.
ALL DB COMPARISONS →Verdict in one paragraph
SQL vs reactive functions. Supabase wins on portable data, SQL ergonomics, and the open-source / self-hostable story. Convex wins on real-time-first reactivity and the TypeScript-end-to-end DX. For relational app data with eventual portability, Supabase. For real-time-first apps where data reactivity is the differentiator, Convex.
Score across the criteria: Supabase 4 · Convex 2
Side by side
Decision criteria
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Which has portable data?
Supabase
Postgres dump and you are out. Convex's data model is its own.
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Which has the better real-time story?
Convex
Convex queries are reactive by default. Supabase Realtime is opt-in subscriptions.
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Which has the better TypeScript end-to-end?
Convex
Convex's typed-functions story is genuinely leading.
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Which has the better vector / RAG story?
Supabase
pgvector is mature and integrates with the broader Postgres ecosystem. Convex has vector search but the ecosystem is younger.
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Which has the lower vendor lock-in?
Supabase
Supabase is open source. Convex backend is proprietary; client is OSS.
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Which is cheaper at scale?
Supabase
Postgres is the cheaper foundation at high data volumes. Convex pricing scales harder.
Research last checked 21 August 2026
SQL platform versus reactive application backend
Supabase exposes a Postgres database and surrounds it with generated APIs, authentication, storage, realtime, and functions. Convex asks developers to write TypeScript queries, mutations, and actions against its managed reactive database; subscribed queries update automatically when their dependencies change. Supabase keeps the relational database visible and lets teams use SQL directly. Convex deliberately makes the application function layer the interface. Choose Supabase when the data model, SQL ecosystem, reporting, and portability are central. Choose Convex when real-time product behaviour and end-to-end TypeScript functions are central and the team accepts a more opinionated backend.
Reactivity changes how the front end is designed
Convex queries are reactive by default, so components subscribe to data dependencies and receive consistent updates without a separate cache invalidation system. That can dramatically simplify collaborative applications, live dashboards, multiplayer workflows, and feeds. Supabase Realtime streams database changes, but the application still decides how subscriptions update local query state and how relational queries are re-fetched. The difference is not whether both can update a screen in real time. It is whether reactivity is the database programming model or an additional channel beside SQL. Prototype the most collaborative screen, including reconnects and permissions, before deciding.
Data access and security live in different places
Supabase often authorises direct client access with Postgres row-level security policies. Convex puts validation and access control inside server-side TypeScript functions that clients call. SQL-oriented teams may prefer policies that apply regardless of which API path touches a table. Application-oriented teams may prefer keeping validation, authorisation, and business logic together in typed functions. Both approaches require adversarial tests. Confirm tenant isolation, role changes, server-only operations, batch jobs, and administrative access. Pick the boundary the team can review and debug confidently rather than the one that produces the shortest initial tutorial.
Portability is the largest strategic difference
Supabase data is Postgres data and can be exported into a broad ecosystem of hosts, tools, and reporting systems, although adopted platform services still create migration work. Convex’s database and reactive function model are more specific to the vendor, so moving away involves translating functions, subscriptions, data access, and operational behaviour rather than restoring a standard database dump. That trade can be rational when Convex removes a large amount of application complexity. Keep a durable export process, avoid using vendor IDs as business identifiers, and price the saved engineering time against the higher cost of a future migration.
Methodology and sources
I compare the current public product, official documentation, published pricing, deployment model, and the operational work a team still owns after setup. Pricing and feature limits change, so the linked vendor pages remain the source of truth. The recommendation is based on project fit rather than counting every row as equally important.
What Supabase is best for
- Full-stack apps that need database + auth + storage + functions in one platform
- Postgres + RLS workloads where row-level security is the primary access control
- Vector search + RAG apps using pgvector inside the same database
- Migrating off Firebase to a Postgres-shape data model
Read the full Supabase entry: /serverless-databases/supabase/
What Convex is best for
- Real-time first apps (dashboards, multiplayer, collaborative)
- TypeScript-fluent teams that want backend functions as the only API
- Apps where the database-to-UI reactivity is the differentiator
Read the full Convex entry: /serverless-databases/convex/
The database choice is the easy half, your migration is the hard one
The hard half is migrating your existing data without losing rows, designing a schema your future-self will not curse, and getting realtime / vector / multi-region right when those matter. The 30-min call is where you describe your stack, your scale, your data shape; I tell you whether Supabase or Convex (or something else) is your fit.