Supabase vs Firebase (2026) | Automation Atlas

Supabase vs Firebase: which backend-as-a-service should you choose?

Quick Answer: Supabase is an open-source Firebase alternative built on PostgreSQL with relational queries, row-level security, and SQL-based querying; it suits developers who prefer SQL and relational data. Firebase (by Google) uses Firestore (NoSQL document database) with real-time listeners and tight integration with Google Cloud; it suits mobile-first and real-time apps. Supabase wins on SQL and open-source; Firebase wins on ecosystem and real-time features.

Supabase vs Firebase

Both are backend-as-a-service (BaaS) platforms that provide authentication, database, storage, and serverless functions. The fundamental difference is relational (Supabase) vs NoSQL document (Firebase).

Supabase

Open-source, launched 2020
Built on PostgreSQL
Row-level security (RLS)
Realtime via PostgreSQL replication
Edge Functions (Deno runtime)
Self-hostable
Pricing: Free (2 projects); Pro $25/month; Team $599/month

Firebase

Google-owned, launched 2011 (acquired 2014)
Firestore (NoSQL document) and Realtime Database
Tight Google Cloud integration
Cloud Functions (Node.js, Python, Go)
Not self-hostable
Pricing: Spark free plan; Blaze plan pay-as-you-go

Feature Comparison

Feature	Supabase	Firebase
Database	PostgreSQL (SQL)	Firestore (NoSQL)
Query model	SQL, joins, views	NoSQL queries, limited joins
Realtime	PostgreSQL changes	Native real-time listeners
Auth	Yes (with OAuth providers)	Yes (with OAuth providers)
Storage	Yes (S3-compatible)	Cloud Storage
Serverless functions	Edge Functions (Deno)	Cloud Functions
Self-hosting	Yes	No
Mobile SDKs	JS, Flutter, Swift, Kotlin	JS, iOS, Android, Flutter, Unity
Open-source	Yes	No

When Supabase Wins

SQL-native teams
Relational data with joins
Open-source or self-hosting requirement
PostgreSQL ecosystem (extensions, tooling)

When Firebase Wins

Mobile-first applications
Real-time collaborative features (chat, presence)
Deep Google Cloud integration
Existing AdMob, Analytics, or Crashlytics usage

Cost at Scale

Cost comparisons are workload-dependent:

Supabase: predictable per-project tier
Firebase: usage-based across reads, writes, storage, functions

For read-heavy apps at scale, Firebase can become expensive without careful read optimization; Supabase's flat tiers are often more predictable.

Migration Considerations

Migrating from Firebase to Supabase requires data model redesign (document → relational)
Migrating auth and storage requires re-issuing user tokens and re-uploading files
Tools like supabase-firebase-migrator exist but handle simple cases only