Supabase vs Firebase 2026: Backend Comparison Guide
Compare Supabase and Firebase for your next project. Authentication, real-time data, pricing, PostgreSQL vs NoSQL, and developer experience analysis.
Key Takeaways
Higher Firebase costs
PostgreSQL extensions
Uptime SLA
Supabase GA launch
Choosing a Backend-as-a-Service (BaaS) platform is one of the most consequential architectural decisions you'll make. The wrong choice can mean expensive migrations, scaling bottlenecks, or vendor lock-in that limits your options for years. In 2026, the two dominant players — Supabase and Firebase — have both matured significantly, but they represent fundamentally different philosophies about how backends should be built.
Firebase, Google's veteran BaaS platform (launched 2011), pioneered the real-time, NoSQL, mobile-first approach. Supabase (launched 2020, GA 2022) took a different bet: build an open-source Firebase alternative on top of PostgreSQL, the world's most popular open-source relational database. The result is two excellent platforms with meaningfully different strengths.
This guide cuts through marketing copy to give you a technical, honest comparison across eight critical dimensions: architecture, authentication, database model, real-time capabilities, storage, pricing, developer experience, and decision criteria. By the end, you'll know exactly which platform fits your project.
Architecture Overview
Understanding the architectural philosophy of each platform explains why they make the trade-offs they do — and why neither is universally "better."
- PostgreSQL as the core database engine
- PostgREST for auto-generated REST API
- GoTrue for authentication (fork maintained by Supabase)
- Realtime server via PostgreSQL logical replication
- Storage API backed by S3-compatible object stores
- Edge Functions via Deno runtime
- Firestore (NoSQL document store) as primary DB
- Firebase Realtime Database (legacy, JSON tree)
- Firebase Authentication with 20+ providers
- Cloud Functions (Node.js/Python serverless)
- Firebase Storage backed by Google Cloud Storage
- Deep Google Cloud (GCP) ecosystem integration
Authentication Systems
Both platforms provide managed authentication that eliminates the need to build auth from scratch. The implementations differ in architecture, flexibility, and mobile support.
| Feature | Supabase Auth | Firebase Auth |
|---|---|---|
| Email/Password | Yes + magic links + OTP | Yes + email link auth |
| Social OAuth Providers | 18+ providers | 20+ providers |
| Phone/SMS Auth | Yes (Twilio/Vonage) | Yes (native) |
| SAML / Enterprise SSO | Yes (SAML 2.0, Team plan) | No (use Identity Platform) |
| Row-Level Security | PostgreSQL RLS (native) | Firestore Security Rules |
| JWT Customization | Custom claims via SQL hooks | Custom claims via Admin SDK |
| Offline Auth Persistence | Limited (web-focused) | Strong (mobile SDKs) |
Supabase's auth integrates directly with PostgreSQL RLS — a JWT claim can unlock rows in a database query. Firebase Security Rules achieve similar granularity but use a separate, proprietary rules language that must be learned and tested independently.
Enterprise SSO: Supabase Wins
For enterprise B2B SaaS requiring SAML 2.0 SSO, Supabase's native SAML support (Team plan) is a significant advantage. Firebase requires upgrading to Google Cloud Identity Platform (separate product, different pricing) for enterprise SSO, adding architectural complexity.
Database: SQL vs NoSQL
This is the most fundamental difference between the two platforms — and the most important factor in your decision. Your data model, query patterns, and team's expertise should drive this choice.
Full-featured relational database with ACID transactions, foreign keys, joins, and complex queries.
- SQL joins across any number of tables
- ACID transactions with rollback support
- 500+ extensions (PostGIS, pg_vector, pg_cron)
- Full-text search with tsvector
- Vector similarity search (pgvector for AI apps)
- Compatible with Prisma, Drizzle, TypeORM, Sequelize
Document-collection NoSQL database optimized for mobile real-time sync with offline persistence.
- Document-collection model (JSON-like)
- Native offline persistence in iOS/Android SDKs
- Automatic horizontal scaling (serverless)
- Compound queries with composite indexes
- Atomic batch writes and transactions
- Google Cloud Firestore fully managed scaling
Real-Time Capabilities
Real-time synchronization — where clients receive database changes without polling — is a core feature of both platforms, but the implementations differ meaningfully.
- PostgreSQL logical replication via WebSockets
- Subscribe to INSERT, UPDATE, DELETE on any table
- Broadcast (pub/sub between clients)
- Presence (track online users)
- No offline persistence (web-first)
- RLS policies enforced on real-time subscriptions
- Native document listeners with onSnapshot()
- Offline persistence via local cache (iOS/Android)
- Automatic conflict resolution on reconnect
- Per-document or collection group listeners
- Indexed query subscriptions
- Security Rules applied to all real-time reads
- JSON tree structure — entire DB synced
- Lowest latency of any Firebase product
- Excellent for simple counters, presence, chat
- Deprecated for new projects (use Firestore)
- Still available, lower cost for simple use cases
- Limited query capabilities vs Firestore
For collaborative web applications (dashboards, kanban boards, document editors), Supabase Realtime is compelling because RLS policies apply to subscriptions — users only receive changes to rows they're permitted to see. Firebase requires structuring your data so Security Rules can be applied at the document level, which can constrain your data model.
For mobile apps requiring offline-first functionality (field service apps, note-taking, offline gaming), Firestore's native offline persistence is a decisive advantage that Supabase does not match today.
Storage Solutions
Object storage for user-uploaded files — images, videos, documents — is a feature both platforms offer, though with different pricing and integration models.
| Feature | Supabase Storage | Firebase Storage |
|---|---|---|
| Free Tier | 1 GB | 5 GB |
| Paid Storage Price | $0.021/GB | $0.026/GB |
| Egress (Download) | $0.09/GB | $0.12/GB |
| Image Transformations | Yes (built-in resize/crop) | No (use Cloud Functions) |
| Access Control | PostgreSQL RLS policies | Firebase Security Rules |
| CDN | Optional (Supabase CDN) | Google Cloud CDN (global) |
| Self-Hosted Backend | Yes (S3-compatible) | No |
Supabase Storage's built-in image transformation API (resize, crop, format conversion) is a practical advantage for media-heavy applications, eliminating the need for separate image processing infrastructure like Cloudinary or imgix. Firebase Storage relies on Google Cloud Storage under the hood but lacks native image transformation — you need Cloud Functions or an external service.
Pricing Models
Both platforms offer free tiers, but their pricing structures diverge significantly at scale. Understanding the cost model before you commit can prevent painful surprises.
500MB DB, 1GB storage, 50K MAU, 2 projects
8GB DB, 100GB storage, unlimited MAU
SSO, priority support, advanced security
50K reads/day, 20K writes/day, 20K deletes/day
$0.06/100K reads, $0.18/100K writes, $0.02/100K deletes
After 2M free invocations/month
Developer Experience
Developer experience encompasses SDK quality, local development tooling, migration workflows, and the ecosystem of integrations — all of which affect shipping velocity.
TypeScript Support
Supabase winsSupabase: Auto-generated types from DB schema (supabase gen types)
Firebase: Type definitions via @types/firebase, manual typing for Firestore
Local Development
TieSupabase: supabase CLI with full local stack (Postgres, Auth, Storage, Edge Functions)
Firebase: Firebase Emulator Suite (Firestore, Auth, Functions, Storage)
Database Migrations
Supabase winsSupabase: SQL migration files with supabase db diff — structured schema management
Firebase: No migration system — schema is schema-less by design
ORM Compatibility
Supabase winsSupabase: Full compatibility with Prisma, Drizzle, TypeORM, Sequelize
Firebase: No SQL ORM support — must use Firebase SDK
Mobile SDKs
Firebase winsSupabase: supabase-flutter, supabase-swift — good but younger ecosystem
Firebase: Mature iOS, Android, Flutter SDKs with offline persistence
Serverless Functions
Firebase winsSupabase: Edge Functions (Deno) — JS/TS, globally deployed
Firebase: Cloud Functions (Node.js/Python) — larger ecosystem, slower cold start
Supabase's auto-generated TypeScript types from your live database schema is a standout feature — run supabase gen types typescript and get fully typed query results that update whenever your schema changes. Firebase's schema-less model offers flexibility but loses compile-time type safety for document structures.
When to Choose Each Platform
The right choice depends on your specific project requirements, team expertise, and long-term scaling strategy. Use these decision criteria as a framework.
- Your team knows SQL and relational database design
- You need complex queries, joins, or aggregations
- You're building a web app or API-first service
- You need AI/vector search (pgvector integration)
- Vendor lock-in is a concern (self-hosting option)
- You're building enterprise B2B SaaS (SAML SSO)
- Your data model is naturally relational
- You need a predictable, fixed monthly cost
- You want Prisma/Drizzle ORM compatibility
- Compliance requires data residency control
- You're building a native mobile app (iOS/Android)
- Offline-first functionality is a core requirement
- Your data model is document-oriented or hierarchical
- You're already invested in the Google Cloud ecosystem
- You need mature iOS/Android SDK support
- Simple real-time sync with no complex queries
- You prefer schema-less flexibility for rapid iteration
- Team is experienced with NoSQL/document stores
- You need Google Analytics / Crashlytics integration
- Your use case is high-frequency simple reads
The Bottom Line
For most web applications in 2026, Supabase is the stronger technical choice. PostgreSQL's maturity, SQL's expressiveness, and Supabase's open-source flexibility make it the default recommendation for SaaS, dashboards, and API-driven services. The TypeScript type generation and ORM compatibility are particularly valuable for TypeScript-first teams.
Firebase retains a clear advantage for mobile-first, offline-capable applications where Firestore's mature iOS/Android SDKs and offline persistence provide capabilities that Supabase does not yet match. Choose Firebase for native mobile apps; choose Supabase for almost everything else.
Building a modern web application?
Our development team has shipped production applications on both Supabase and Firebase — and can help you architect the right backend for your specific requirements, team skills, and scaling needs.
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