Supabase vs Firebase: which backend is better in 2026?
Quick Answer: Supabase is an open-source Postgres backend with pgvector, RLS, and self-host options from $25/month Pro, suited to apps needing relational data and AI/RAG. Firebase is a proprietary NoSQL backend on Google Cloud with strong mobile SDKs, suited to mobile-first realtime apps.
Supabase vs Firebase: Direct Comparison
Supabase (founded 2020, open-source, Postgres-based) and Firebase (Google, 2014, proprietary, Firestore-based) both offer backend-as-a-service but differ in data model, hosting, and lock-in.
Data Model
Supabase is PostgreSQL: relational tables, foreign keys, joins, transactions, full-text search, PostGIS, and pgvector for AI embeddings. Firebase Firestore is a document NoSQL store with collections of JSON-like documents and limited join support.
Hosting
Supabase Cloud runs on AWS in multiple regions; the open-source stack can self-host on any infrastructure. Firebase runs only on Google Cloud Platform with no self-host option.
Pricing (May 2026)
- Supabase Free: 500 MB DB, 1 GB storage, 50K MAU; Pro: $25/month per project; Team: $599/month
- Firebase Spark (free): 1 GB Firestore, 50K reads/day; Blaze: pay-as-you-go from $0.06/100K reads
AI and Vectors
Supabase pgvector supports HNSW indexes and works with OpenAI, Anthropic, Cohere, and open-source embeddings. Firebase Vertex AI integration ties to Google AI services with Firestore vector search in preview.
Vendor Lock-In
Supabase data migrates via pg_dump to any Postgres host. Firestore migration requires custom export-and-transform code, and Firebase SDKs tightly couple client code to the platform.
When Each Wins
Supabase wins for relational data, AI/RAG workloads, EU data residency, and teams that want self-host as an option. Firebase wins for mobile-first apps, real-time collaborative features using Firestore listeners, and teams already invested in Google Cloud.
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