Head-to-head · Backend-as-a-Service

Supabase vs Firebase

Supabase vs Firebase in 2026: Postgres vs Firestore, auth, real-time, pricing, vendor lock-in, AI/RAG features. Pick by data model and lock-in tolerance.

Updated May 2026 · 7 min read

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Supabase markets itself as 'the open-source Firebase alternative'. The data model is the real fork: Supabase is Postgres (relational, SQL); Firebase is Firestore (document-store, NoSQL). Most other features (auth, real-time, storage, edge functions) match. Pick by data model — that decision is sticky.

Option 1

Supabase

Postgres + open-source stack; SQL-first.

Best for

Apps with relational data, teams that want to own their data layer, projects that may eventually self-host.

Pros

Real Postgres — full SQL, joins, foreign keys, extensions (pgvector for AI/RAG)
Row-level security written as SQL policies
Open-source — every component runs locally with `supabase start`
Self-hostable end-to-end on AWS / Hetzner / your own Postgres
Edge Functions (Deno runtime, V8 isolates)
Realtime via Postgres logical replication
Built-in pgvector for AI embeddings + RAG

Cons

Less mature than Firebase (founded 2020 vs 2011)
Smaller ecosystem of integrations + tutorials
Mobile SDK story still catching up (iOS / Android improving)
Cold-start latency on Edge Functions occasionally noticeable

Option 2

Firebase

Google's BaaS; document-store + tight Google integration.

Best for

Mobile-first apps, real-time chat / collaborative experiences, apps already in the Google Cloud ecosystem.

Pros

Battle-tested at scale (Google-backed, 13+ years)
Best-in-class mobile SDKs (iOS, Android, Flutter, Unity)
Realtime database optimized for low-latency sync
Cloud Functions tightly integrated with GCP services
Authentication has every provider out of the box
Vertex AI integration for Google's models
Generous free tier (Spark plan)

Cons

Firestore is NoSQL — no joins, denormalize-or-suffer
Vendor lock-in: queries, auth tokens, all Firebase-specific APIs
Pricing surprises on heavy reads (every document read = $)
No self-hosting path — you're tied to Google Cloud
Closed-source stack means migration is a rewrite

The verdict

Building a relational app, want SQL + open source + a self-host escape hatch → Supabase. Building a mobile-first app with chat / collaborative features, already on Google Cloud → Firebase. Greenfield web project with no strong data-model preference → Supabase has more momentum and Postgres is the safer long-term bet. Existing Firebase apps with significant Firestore data → don't migrate without a real reason; the data-model rewrite is painful.

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Guides on this topic

Deeper reads that go beyond the head-to-head — primary-source data, edge cases, and the questions you’ll have after you’ve picked a side.

Frequently asked questions

Can I migrate Firebase → Supabase?

It's a rewrite, not a migration. Firestore documents map to Postgres tables only after schema design + data transform. Auth tokens don't transfer (users have to re-log-in or you bridge with custom tokens). Plan multi-week effort.

Which scales better?

Both scale to billion-doc/row datasets. Firebase has more public case studies at extreme scale. Supabase scales by scaling Postgres — lots of well-known apps (Mozilla, Loom team) run on it now.

What about Convex / Neon / Turso?

All worth evaluating. Convex is a strong Firebase alternative with stricter consistency. Neon + Turso are Postgres / SQLite as managed primitives — pair them with a custom auth layer for a more cobbled-but-cheaper backend.