Supabase vs Firebase

Supabase vs Firebase: Backend Platforms Compared (2026)

Supabase is the open-source Firebase alternative built on PostgreSQL, offering a relational database, authentication, instant APIs, edge functions, real-time subscriptions, and storage. It appeals to developers who want the productivity of a BaaS platform without sacrificing SQL, joins, and the power of a real relational database.

Firebase by Google is the original backend-as-a-service, powering millions of apps with its NoSQL Firestore database, authentication, cloud functions, hosting, and real-time sync. Its deep integration with Google Cloud and mobile SDKs makes it the default choice for teams building mobile-first applications and rapid prototypes.

Supabase

Supabase provides a PostgreSQL database with auto-generated REST and GraphQL APIs, Row Level Security, real-time subscriptions, Auth (email, OAuth, magic links), Edge Functions (Deno), Storage with transformations, and vector embeddings. It's open-source and can be self-hosted.

Firebase

Firebase offers Firestore (NoSQL document database), Realtime Database, Authentication (20+ providers), Cloud Functions (Node.js/Python), Cloud Storage, Hosting, Cloud Messaging (push notifications), Crashlytics, and Remote Config. It's tightly integrated with Google Cloud Platform.

Feature comparison

FeatureSupabaseFirebase
DatabasePostgreSQL — full relational database with SQL, joins, indexes, constraints, and pgvector for AI embeddingsFirestore (NoSQL) — document/collection model with real-time sync, offline persistence, and auto-scaling
Real-timePostgreSQL LISTEN/NOTIFY with real-time subscriptions to database changes — row-level granularityNative real-time sync on Firestore — clients automatically receive updates with offline-first architecture
AuthenticationBuilt-in auth with email, OAuth (Google, GitHub, Apple), magic links, phone OTP, and SSOFirebase Auth with 20+ providers including email, phone, Google, Apple, Facebook, anonymous, and custom tokens
Serverless functionsEdge Functions running Deno on the edge — low latency, TypeScript-firstCloud Functions for Firebase — Node.js or Python, triggered by Firestore events, HTTP, or scheduled
StorageS3-compatible object storage with image transformations, RLS policies, and resumable uploadsCloud Storage for Firebase — integrated with security rules, resumable uploads, and CDN delivery
Self-hostingFully self-hostable — Docker Compose for local dev, Kubernetes for productionNot self-hostable — Firebase is Google-managed only, with no on-premises option
Data model flexibilitySQL with full schema control — foreign keys, constraints, stored procedures, and custom typesNoSQL document model — flexible schema, denormalized data, but no joins or foreign key constraints
Mobile SDKsClient libraries for JavaScript, Flutter, Swift, Kotlin — growing mobile supportMature native SDKs for iOS, Android, Flutter, Unity, and C++ — the strongest mobile SDK ecosystem

Supabase pros

PostgreSQL under the hood — full SQL, joins, foreign keys, constraints, and mature ecosystem of extensions

Open-source and self-hostable — no vendor lock-in, deploy on your own infrastructure if needed

Auto-generated REST and GraphQL APIs from your schema — instant API without writing backend code

pgvector support enables AI/ML vector search natively in your database — no separate vector store needed

Supabase cons

Mobile SDKs are less mature than Firebase's — iOS and Android support is growing but not as battle-tested

Real-time subscriptions use PostgreSQL LISTEN/NOTIFY — works well but not as seamlessly offline-first as Firestore

Fewer managed services compared to Firebase — no push notifications, crashlytics, or remote config built in

Relational modeling requires more upfront schema design than Firestore's flexible document model

Pricing: Free tier: 500MB database, 1GB storage, 50K auth users. Pro at $25/mo per project (8GB database, 100GB storage). Team at $599/mo (SOC2, SSO). Enterprise is custom pricing. Self-hosted is free.

Firebase pros

Best-in-class mobile SDKs — native iOS, Android, Flutter, and Unity support with offline-first real-time sync

Firestore's offline persistence and automatic conflict resolution make it ideal for mobile-first apps

Comprehensive platform: auth, database, functions, storage, hosting, push notifications, crashlytics, and analytics

Google Cloud integration — scale seamlessly to Google Cloud services (BigQuery, Cloud Run, Vertex AI) as you grow

Firebase cons

NoSQL-only — no SQL, no joins, no foreign keys; complex queries require denormalized data and client-side aggregation

Not self-hostable — complete vendor lock-in with Google Cloud, no on-premises option

Pricing can spike unpredictably — Firestore charges per read/write/delete, which is hard to forecast at scale

Migrating away from Firebase is costly — data model, auth, and SDK dependencies create deep lock-in

Pricing: Spark (free): 1GB Firestore storage, 50K reads/day, 20K writes/day. Blaze (pay-as-you-go): $0.18/100K reads, $0.18/100K writes, $0.02/100K deletes, $0.108/GB storage. Cloud Functions: $0.40/million invocations.

Choose Supabase if you need

  • - You want a relational database — SQL, joins, foreign keys, and schema constraints are important for your data model
  • - Self-hosting or data sovereignty matters — Supabase is open-source and deployable on your own infrastructure
  • - You're building AI features and need vector search — pgvector integrates natively into your PostgreSQL database
  • - Vendor lock-in is a concern — you want an open-source stack you can migrate away from if needed

Choose Firebase if you need

  • - You're building a mobile-first app and need the best native SDKs with offline-first real-time sync
  • - Rapid prototyping is the priority — Firestore's schemaless document model and auto-scaling minimize setup time
  • - You need the full Google ecosystem — push notifications, crashlytics, remote config, and Google Analytics in one platform
  • - Your data model is naturally document-oriented and doesn't require complex relational queries or joins

How Vantage fits in

Vantage helps product teams spec out the backend requirements before choosing infrastructure. Whether you build on Supabase or Firebase, the PRD captures data model decisions, authentication requirements, and real-time needs — so the backend architecture is driven by product requirements, not tool defaults.

Frequently asked questions

Product decisions need more than a comparison

Generate PRDs grounded in real data. Track dependencies. Detect conflicts. Rebuild when context shifts.

Free to start. No credit card required.

Related reading