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Supabase vs Firebase: Which Database & ORM Tool Should You Use? (2026)

Supabase and Firebase are the two most popular backend-as-a-service platforms for modern application development. Supabase offers an open-source PostgreSQL-based stack with SQL power and self-hosting options, while Firebase provides a fully managed NoSQL ecosystem backed by Google Cloud. This comparison evaluates their databases, authentication, real-time features, pricing, and developer experience.

analyzed by Raşit Akyol April 10, 2026 updated August 25, 2026

Verdict

For new projects with relational data, SQL expertise on the team, or requirements for self-hosting and data sovereignty, Supabase is the stronger choice. For mobile-first applications requiring robust offline support, real-time sync, and deep Google Cloud integration, Firebase remains the more mature option. Many teams evaluate both and choose based on their specific data model and deployment requirements. Our pick: Supabase.

What Sets Them Apart

Supabase and Firebase approach backend services from fundamentally different database philosophies. Supabase is built on PostgreSQL, giving developers the full power of a relational database with SQL queries, joins, foreign keys, transactions, and stored procedures. Firebase uses Firestore, a NoSQL document database optimized for real-time synchronization and offline-first mobile applications. This core architectural difference shapes every other aspect of both platforms.

Supabase and Firebase at a Glance

For complex data relationships and querying, Supabase has a clear advantage. PostgreSQL supports sophisticated queries with joins across multiple tables, aggregations, window functions, and full-text search out of the box. Firestore requires data denormalization and careful document structuring to avoid expensive read operations, and complex queries often need composite indexes configured in advance. Applications with relational data models fit Supabase more naturally.

Firebase excels in real-time synchronization and offline support for mobile applications. Firestore's real-time listeners propagate changes to all connected clients instantly with built-in conflict resolution. Firebase also provides seamless offline data persistence on mobile devices, automatically syncing changes when connectivity returns. Supabase offers real-time subscriptions through PostgreSQL's LISTEN/NOTIFY, which works well but requires more manual handling of offline scenarios.

Authentication systems are comparable but structured differently. Supabase Auth supports email, phone, OAuth providers, and magic links with direct integration to its PostgreSQL Row Level Security policies. Firebase Authentication offers a similar range of providers and integrates with Firestore security rules. Both handle common authentication flows well, though Supabase's RLS integration provides a more elegant approach to database-level access control.

Pricing Models and Business Philosophy

Pricing models reflect their different business philosophies. Supabase offers a generous free tier with unlimited API requests and a predictable Pro plan at twenty-five dollars per month per project. Firebase uses Google Cloud's pay-as-you-go pricing for Firestore reads, writes, and storage, which can become unpredictable at scale. Supabase's PostgreSQL foundation means developers can self-host entirely to avoid any platform costs.

The self-hosting option is a significant differentiator for Supabase. As an open-source project, Supabase can be deployed on any infrastructure using Docker, giving organizations full control over their data and eliminating vendor lock-in. Firebase is exclusively a managed Google Cloud service with no self-hosting option, meaning your data and infrastructure remain tied to Google's ecosystem.

Developer experience and tooling are strong on both platforms. Firebase offers a mature CLI, emulator suite for local development, and deep integration with Google Cloud services including Cloud Functions, Cloud Storage, and Analytics. Supabase provides a clean dashboard, auto-generated REST and GraphQL APIs from database schemas, and edge functions powered by Deno. Firebase's ecosystem is more mature, while Supabase's is growing rapidly.

Serverless Functions and Backend Logic

For serverless functions, Firebase Cloud Functions run on Google Cloud with automatic scaling and integration with other Firebase services. Supabase Edge Functions use Deno runtime and deploy to edge locations for low-latency execution. Firebase Functions support Node.js and Python with a broader ecosystem of libraries, while Supabase's edge functions offer faster cold starts and TypeScript-first development.

Storage solutions differ in approach. Firebase Cloud Storage integrates with Google Cloud Storage for file uploads with security rules. Supabase Storage provides S3-compatible object storage with the same Row Level Security policies used for database access. Both handle file uploads, image transformations, and CDN delivery, though Firebase's integration with the broader Google Cloud storage ecosystem offers more advanced media processing options.

The Bottom Line

Quick Comparison

Supabasewinner

Pricing
Freemium open-source Firebase alternative built on PostgreSQL (Apache-2.0/MIT). Free tier provides $0/mo with 500MB database, 50K MAU, and 1GB storage. Pro tier starts at $25/mo with $10 compute credit, 8GB database, 100K MAU, 100GB storage, and granular compute instance scaling ($10/mo to $3,840/mo). Team plan is $599/mo with SOC 2, HIPAA readiness, and 1-hour SLA; Enterprise offers custom BYOC, 99.99% SLA, and dedicated support. Complete self-hosted Docker stack available with zero licensing fees.
Pricing Model
Freemium
Platforms
Web, CLI, Self-hosted
Open Source
Yes
Telemetry
Clean
Status
Active
Editorial Pick
Last Verified
Aug 24, 2026
Description
Open-source Firebase alternative providing a full backend-as-a-service on PostgreSQL. Auto-generated REST and GraphQL APIs from your schema, real-time subscriptions, built-in auth with 20+ social providers and Row Level Security, S3-compatible file storage with CDN, and Deno-powered Edge Functions. Visual dashboard with SQL editor and table editor. Supports pgvector for AI apps. Self-hostable or managed with a generous free tier. 75K+ GitHub stars.

Firebase

Pricing
Freemium BaaS on Google Cloud infrastructure. Spark Plan ($0/mo) provides generous free tiers without a credit card (50K MAU Auth, 1GB Firestore storage, 50K reads/day, 20K writes/day, 10GB Hosting transfer, free Crashlytics). Blaze Plan (Pay-as-you-go) includes Spark free quotas and bills excess usage at GCP unit rates ($0.06/100K Firestore reads, $0.18/100K writes, $0.40/M Cloud Function calls after 2M free, $0.026/GB Storage). Enterprise contracts supported through Google Cloud committed use discounts.
Pricing Model
Freemium
Platforms
Cloud-based; SDKs for iOS, Android, Web, Flutter, Unity, C++; Firebase Console and CLI
Open Source
No
Telemetry
Concerns
Status
Active
Editorial Pick
Last Verified
Aug 24, 2026
Description
Firebase is Google’s app development platform providing backend services including Firestore, Realtime Database, Authentication, Cloud Storage, Cloud Functions, Hosting, Analytics, messaging, and AI-connected app features. Current docs foreground Firebase AI Logic for Gemini API access, Genkit for full-stack AI and agentic apps, Firestore vector search, and SQL Connect. Spark plan is free; Blaze is pay-as-you-go.

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Convex vs Firebase: TypeScript-First Backend or Mobile BaaS?

Convex and Firebase both remove backend infrastructure work, but they optimize for different teams. Convex wins for TypeScript-first realtime web apps through serializable transactions, generated types, and automatic reactive queries; Firebase remains the stronger choice for offline-first mobile products and deep Google ecosystem integration.

Supabase vs Neon vs PlanetScale — Choosing a Serverless Database for 2026

Supabase, Neon, and PlanetScale all promise serverless databases with branching and generous free tiers, but they solve the problem in very different ways. Supabase is an open-source Firebase alternative that bundles Postgres with auth, realtime, and storage. Neon is pure serverless Postgres with scale-to-zero compute and copy-on-write branching. PlanetScale is a MySQL-compatible platform powered by Vitess, known for non-blocking schema changes and horizontal sharding at scale. This comparison walks through how the three stack up on database model, branching, pricing at real production sizes, and which team profiles each fits best.

ElectricSQL vs Supabase — Local-First Sync Engine vs Real-Time Backend Platform

ElectricSQL and Supabase both build on PostgreSQL but enable fundamentally different real-time data architectures. ElectricSQL provides a sync engine that replicates Postgres data to client-side stores for offline-capable local-first applications. Supabase offers a complete backend platform with real-time subscriptions, authentication, storage, and edge functions that extends PostgreSQL into a Firebase-like development experience.

FAQ

Supabase RLS politikaları ile Firebase Firestore Security Rules nasıl ayrışır?

Supabase RLS doğrudan PostgreSQL çekirdeğinde SQL ifadeleriyle çalışır; veritabanı indekslerini ve ilişkisel join'leri tek adımda kullanır. Firebase ise kuralları API proxy katmanında değerlendirir; karmaşık yetkilendirmeler ek get() çağrıları gerektirir ve okuma kotalarını artırır.

PostgreSQL (Supabase) ve Firestore NoSQL (Firebase) veri modelleme farkları nelerdir?

Supabase, karmaşık SQL join'leri ve ACID uyumlu ilişkisel yapı sunar. Firebase Firestore ise otomatik yatay sharding için tasarlanmış NoSQL doküman veritabanıdır ancak 1MB doküman limiti ve tek dokümana ~1 yazma/saniye kısıtlamalarına sahiptir.

Gerçek zamanlı mimarilerde (Realtime) iki platform nasıl farklılaşır?

Supabase Realtime, PostgreSQL WAL loglarını Elixir kümesiyle dinleyerek WebSocket üzerinden yayınlar. Firebase Firestore ise Google'ın senkronizasyon motoruna doğrudan soket bağlantısı kurarak yerel çevrimdışı önbellek ve iyimser UI güncellemeleri sunar.

Vektör arama ve AI gömme entegrasyonu karşılaştırması nasıldır?

Supabase, pgvector'ü PostgreSQL içine entegre ederek vektör gömmelerini ve SQL meta veri filtrelerini tek atomik işlemde sorgulatır. Firebase ise Vertex AI ile harici indeksleme gerektirir.