Supabase vs Firebase
The "open source Firebase alternative" vs the OG. Postgres vs NoSQL. Here's which one wins.
Supabase
Postgres is just better than Firestore for most use cases. You get real SQL, proper relationships, and row-level security that actually makes sense. Plus it's open source, so you're not locked in. Firebase spent 2025-2026 closing the gap with what's now officially called Firebase SQL Connect — a Postgres layer bolted onto its NoSQL core, complete with native SQL support in 2026 — but it's still a patch job, not a rewrite. If you want SQL, use the platform built on SQL.
The Fundamental Difference
Firebase uses Firestore, a NoSQL document database. Supabase uses PostgreSQL, a relational SQL database.
This isn't just a technical detail. It affects how you think about your data, how you query it, and how screwed you are when your data model changes.
Spoiler: SQL wins for almost everything except real-time chat apps and game leaderboards.
The line blurred a bit in 2025 when Google shipped Firebase Data Connect, now officially renamed Firebase SQL Connect, which puts a managed Cloud SQL for PostgreSQL instance behind Firebase's client SDKs. So yes, Firebase can "do Postgres" now, and as of 2026 it even added native SQL support for complex queries alongside its original GraphQL layer. But standard schema definition and CRUD still run through GraphQL files and Google's abstraction layer, not raw SQL by default. Supabase just gives you the database.
Quick Comparison
| Factor | Supabase | Firebase |
|---|---|---|
| Database | PostgreSQL (SQL) | Firestore (NoSQL) |
| Query Flexibility | Full SQL power | Limited queries |
| Real-time | Good | Excellent |
| Auth | Clean, simple | Feature-rich but complex |
| Open Source | Yes (self-host option) | No (Google lock-in) |
| Free Tier | 500MB DB, 50K MAU, 2 projects | 1GB Firestore, 50K reads/day |
| Paid Entry Price | $25/mo flat (Pro) | Pay-as-you-go (Blaze), scales fast |
| Mobile SDKs | Good | Excellent |
| Edge Functions | Deno-based, ~42ms cold start | Cloud Functions (heavier, slower cold start) |
| AI / Vector Search | pg_vector native, S3 Vector Buckets | Gemini in Firebase, SQL Connect vector search |
Why Postgres Wins
With Firestore, you design your data around your queries. Change your UI? Restructure your entire database. It's a nightmare for anything that evolves.
With Postgres, you design your data correctly once, then query it however you want. Need a new report? Write a SQL query. Don't migrate anything.
"I have yet to meet someone who moved from Firestore to Postgres and regretted it. I've met many who went the other direction and wanted to cry."
Where Firebase Wins
To be fair, Firebase does some things better:
- Real-time sync: Firestore's real-time listeners are genuinely better. If you're building a chat app or collaborative editor, this matters.
- Mobile SDKs: Firebase's iOS and Android SDKs are more mature and feature-rich.
- Offline support: Firestore's offline persistence is automatic and works great, especially for field apps that need to survive dead zones.
- Ecosystem: Analytics, Crashlytics, Remote Config, Cloud Messaging - Firebase has a lot of stuff.
- Gemini integration: Firebase AI Logic and Gemini-in-Firebase now generate Firebase SQL Connect schemas and queries from plain-language prompts. If your team is already deep in Google's AI stack, that's a real convenience.
The Lock-in Question
Firebase is a Google product. Your data lives in Google's proprietary format. Moving away is painful.
Supabase is open source. You can self-host it. Your data is in standard Postgres. Moving away is a normal database migration. Supabase has also kept shipping the "own your stack" story further in 2025-2026 - branching for preview environments, read replicas, and the option to turn a project into its own identity provider instead of renting one from a vendor.
Firebase SQL Connect doesn't fix this for Firebase. Yes, the data lives in Cloud SQL for Postgres now instead of Firestore's proprietary format, and yes you can now write raw SQL for the hard queries, but standard schema and console access still run through Google's GraphQL abstraction. It's a nicer cage, still a cage.
For side projects, lock-in doesn't matter. For anything serious, it does - and the cost gap compounds the lock-in problem. Teams running comparable workloads report landing around $25-100/mo on Supabase versus $500-1,500/mo on Firebase's Blaze plan once you're past free-tier scale. That's not a rounding error, that's a budget line.
Auth Comparison
Both have built-in auth. Supabase's is simpler and cleaner. Firebase's has more features but more configuration.
For most apps, Supabase's auth is enough and easier to work with. If you need advanced stuff like phone auth or anonymous users upgrading to permanent accounts, Firebase is better.
The Verdict
Use Supabase if: You want SQL, open source, predictable pricing, and a cleaner developer experience. This is most web apps, and increasingly most AI apps too, thanks to native pg_vector.
Use Firebase if: You're building a mobile-first app, need excellent real-time sync and offline support, or your team already lives inside Google Cloud and wants Gemini wired straight into the backend.
Don't use either if: You're building something at serious scale. Both are fine for startups, but you might outgrow them - and if you outgrow Firebase, expect the bill to notice first.
FAQ
Is Supabase or Firebase better in 2026?
Supabase, for most web apps and APIs. Postgres is just better than Firestore for most use cases — real SQL, proper relationships, and row-level security that actually makes sense — plus it's open source, so you're not locked in. Firebase is the better call if you're building mobile-first, need excellent real-time sync and offline support, or your team already lives inside Google Cloud and wants Gemini wired straight into the backend.
Can you use SQL with Firebase now?
Yes, to a degree. Firebase Data Connect was officially renamed Firebase SQL Connect in 2026, and it added native SQL support alongside its original GraphQL layer — so you can now write raw SQL for complex queries like window functions, CTEs, or geospatial work. But standard schema definition and CRUD still run through the GraphQL layer and Google's console, so you're not getting a plain, unmediated Postgres the way you do with Supabase.
Does Firebase SQL Connect fix Firebase's vendor lock-in?
Not really. Your data lives in Cloud SQL for Postgres instead of Firestore's proprietary format, which is nicer, but you still get there through Google's abstraction layer and Google's console. Supabase is open source and self-hostable, with your data in standard Postgres — moving away is a normal database migration, not an extraction project.
How much cheaper is Supabase than Firebase at scale?
Teams running comparable workloads report landing around $25-100/month on Supabase versus $500-1,500/month on Firebase's Blaze plan once you're past free-tier scale. Supabase's Pro plan is a flat $25/month; Firebase's pay-as-you-go pricing scales fast and unpredictably as usage grows.
Which is better for AI and vector search — Supabase or Firebase?
Supabase, thanks to native pg_vector support and S3 Vector Buckets built directly into Postgres. Firebase's answer is Gemini in Firebase and Firebase SQL Connect, which can generate schemas and queries from plain-language prompts — a real convenience if your team is already deep in Google's AI stack, but not the same as native vector search in your primary database.
Postgres beats Firestore for most apps. Supabase's DX is cleaner, the pricing is predictable, and the open source angle matters more every year Google adds another proprietary layer on top of Firebase. Firebase SQL Connect proves even Google thinks SQL won the argument - it just makes you access it through a translator, even with native SQL support now bolted on. For web apps and APIs, Supabase still wins.