DEV Community

丁久
丁久

Posted on • Originally published at dingjiu1989-hue.github.io

Supabase vs Firebase

This article was originally published on AI Study Room. For the full version with working code examples and related articles, visit the original post.

Introduction

Supabase and Firebase are the leading Backend-as-a-Service (BaaS) platforms, providing database, authentication, storage, and serverless functions out of the box. Both eliminate the need to build and manage backend infrastructure, but they take fundamentally different approaches. Firebase is built on NoSQL (Firestore) and is fully managed by Google. Supabase is built on PostgreSQL and is open source. This comparison helps you choose the right platform for your project.

Database: SQL vs NoSQL

The database choice is the most important factor in deciding between these platforms.

Firebase Firestore (NoSQL)

Firestore is a document-oriented NoSQL database:

Collection: users
  Document: user123
    name: "Alice"
    email: "alice@example.com"
    posts: [ref:post456, ref:post789]

Collection: posts
  Document: post456
    title: "Hello World"
    content: "..."
Enter fullscreen mode Exit fullscreen mode

Strengths:

  • Automatic real-time synchronization
  • Scales infinitely without configuration
  • Works offline with on-device persistence
  • Flexible schema — no migrations needed

Weaknesses:

  • Complex queries (no JOIN, limited filtering, no aggregation)
  • Performance depends on index creation for complex queries
  • Data denormalization required for relational data
  • No migration tools — schema changes are manual
// Firestore query
const snapshot = await db
  .collection("posts")
  .where("published", "==", true)
  .orderBy("createdAt", "desc")
  .limit(10)
  .get();
Enter fullscreen mode Exit fullscreen mode

Supabase (PostgreSQL)

Supabase uses full PostgreSQL with all its capabilities:

Strengths:

  • Full SQL — JOINs, aggregations, window functions, CTEs
  • Relational data modeling with foreign keys and constraints
  • Postgres extensions (PostGIS for geospatial, pgvector for embeddings)
  • Row Level Security for granular access control
  • ACID compliance and transactional integrity

Weaknesses:

  • Manual schema migrations required
  • Real-time requires explicit configuration (Realtime Server)
  • Scaling requires planning (connection pooling, read replicas)
  • Limited offline support compared to Firestore
-- Supabase SQL query
SELECT posts.*, profiles.username, COUNT(comments.id) as comment_count
FROM posts
JOIN profiles ON posts.author_id = profiles.id
LEFT JOIN comments ON comments.post_id = posts.id
WHERE posts.published = true
GROUP BY posts.id, profiles.username
ORDER BY posts.created_at DESC
LIMIT 10;
Enter fullscreen mode Exit fullscreen mode

Authentication

Both platforms offer comprehensive auth:

Feature Firebase Auth Supabase Auth
Email/password Yes Yes
OAuth providers Google, Apple, Facebook, etc. Google, GitHub, Discord, etc.
Phone auth Yes Via Twilio
Anonymous auth Yes Yes
Multi-factor auth Yes Via third-party
Custom claims Yes Via PostgreSQL
Row Level Security integration No Yes (native)

Supabase's auth integrates directly with PostgreSQL Row Level Security, allowing database-level permissions without additional logic:

-- Supabase RLS: users can only see their own data
CREATE POLICY "Users can view own profile"
ON profiles FOR SELECT
USING (auth.uid() = user_id);
Enter fullscreen mode Exit fullscreen mode

Real-time Features

  • Firebase: Real-time is built into Firestore at the database level. Every listener receives updates automatically. This is seamless but can be expensive at scale.
  • Supabase: Real-time uses a separate Realtime Server that listens to PostgreSQL replication. You subscribe to specific channels and tables. It's more configurable but requires explicit setup.

Pricing Comparison

Aspect Firebase Supabase
Free tier Spark plan: 1GB storage, 10GB/month transfer 500MB database, 2GB storage
Scaling cost Pay per usage (reads, writes, bandwidth) Pay for compute + storage
Predictable pricing Less predictable (usage-based) More predictable (compute-based)
Vendor lock-in risk High (proprietary NoSQL) Low (standard PostgreSQL)

Firebase's Spark plan is generous for prototyping, but costs can scale unpredictably with usage. Supabase's compute-based model is more predictable.

Ecosystem and Tooling

Firebase offers a richer ecosystem of integrations: Crashlytics, Performance Monitoring, Analytics, Cloud Messaging, Remote Config, and A/B Testing. This makes Firebase the better choice for mobile app development where you need these services.

Supabase integrates with the broader PostgreSQL ecosystem: you can use any Postgres tool (pgAdmin, DBeaver, Prisma, Drizzle) and access the database directly with standard SQL clients.

When to Choose What

Choose Firebase when:

  • You're building a mobile app (iOS/Android) with Google Play Services integration
  • You need automatic real-time synchronization with minimal configuration
  • Your data model is document-oriented and doesn't require complex JOINs
  • You need Firebase Analytics, Crashlytics, and other Google services
  • You

Read the full article on AI Study Room for complete code examples, comparison tables, and related resources.

Found this useful? Check out more developer guides and tool comparisons on AI Study Room.

Top comments (0)