Supabase vs Firebase 2026: Postgres Open-Source vs NoSQL on Google Cloud

Overview

Supabase and Firebase represent two distinct philosophies for backend-as-a-service. Supabase, founded in 2020 by Paul Copplestone and Ant Wilson, is an open-source platform built around managed PostgreSQL with auto-generated APIs, authentication, storage, edge functions, and pgvector for AI workloads. Firebase, acquired by Google in 2014, is a proprietary backend platform centered on Cloud Firestore (a NoSQL document database) and Realtime Database, with deep integration into Google Cloud Platform.

As of May 2026, Supabase reports over 1.7 million developers and runs more than 2.5 million Postgres databases on its managed infrastructure. Firebase remains one of the most widely deployed backends globally, with millions of applications across iOS, Android, and the web running on Firestore and Authentication.

Hosting Model

Supabase offers three deployment paths. The Supabase Cloud product runs managed Postgres in AWS regions (US East, US West, EU Central, EU West, AP South, AP Southeast, SA East and others). Self-hosted Supabase runs the full open-source stack via Docker Compose or Kubernetes on any infrastructure. A managed enterprise tier offers dedicated VPC deployments and BYOC (bring-your-own-cloud) options.

Firebase runs only on Google Cloud. There is no self-hosted version. The Firebase Local Emulator Suite simulates services for local development but production deployments are exclusively on Google infrastructure. Firestore is multi-region by default, with locations including us-central, europe-west, asia-east, and asia-northeast.

Database Model

Supabase uses PostgreSQL 15+ as the primary store. Tables are relational with foreign keys, joins, transactions, views, materialized views, full-text search, and PostGIS for spatial queries. The pgvector extension supports embedding storage and similarity search for AI/RAG applications. Row Level Security (RLS) policies enforce multi-tenant authorization at the database layer.

Firebase Firestore is a document database. Data is stored as JSON-like documents grouped into collections, with limited support for joins (only via client-side fan-out queries or Cloud Functions). Firestore does not support transactions across more than 500 documents, and queries are limited to indexed fields. Realtime Database is an older key-value JSON tree, still maintained for legacy applications.

Authentication and APIs

Supabase Auth supports email/password, magic links, phone OTP, and over 20 OAuth providers (Google, Apple, GitHub, Azure, etc.), plus SAML SSO on the Pro plan and above. PostgREST auto-generates a REST API from the database schema; PostgreSQL functions become callable RPC endpoints; GraphQL is available via pg_graphql.

Firebase Authentication supports email/password, phone, anonymous, and OAuth providers with SDKs for web, iOS, Android, Flutter, Unity, and C++. Cloud Functions for Firebase provides server-side logic in Node.js, Python, or Go. There is no auto-generated REST API; all access is via Firebase SDKs.

AI and Vector Support

Supabase pgvector enables embedding storage with cosine, L2, and inner product distance metrics, HNSW indexes, and direct integration with OpenAI, Anthropic, Cohere, and open-source embedding models. The supabase-py and JS clients include helper functions for similarity search. Edge Functions (Deno-based) can call LLM APIs for in-database AI workflows.

Firebase Vertex AI in Firebase (released 2024) provides client SDKs for Gemini API access and supports vector search through Firestore vector embeddings (preview as of late 2025). The integration is tightly coupled to Google AI services and lacks the cross-vendor flexibility of pgvector.

Pricing (May 2026)

Vendor Lock-In

Supabase is Postgres. Migrating off Supabase involves dumping the database (pg_dump) and restoring on any Postgres-compatible host (RDS, Cloud SQL, self-hosted, Neon, Aiven). The auth schema, RLS policies, and stored functions migrate cleanly. The proprietary surface (dashboard, edge functions runtime) is the only Supabase-specific layer.

Firestore data does not have a portable schema. Migration requires custom export-and-transform code to map document collections into a relational or alternative NoSQL model. Firebase Authentication users can be exported via firebase auth:export and imported into Auth0 or Cognito with custom hashing migration scripts, but client SDK code is tightly coupled to Firebase.

When to Choose Supabase

• Applications that need relational data with joins, transactions, and complex queries
• AI/RAG workloads requiring pgvector embedding storage
• Teams that want the option to self-host or migrate away later
• Multi-region applications where data residency requirements rule out Google Cloud

When to Choose Firebase

• Mobile-first apps using the Firebase SDK across iOS, Android, and Flutter
• Real-time collaborative features where Firestore listeners are a natural fit
• Teams already invested in Google Cloud Platform infrastructure
• Applications where document-oriented data fits the domain model

Editor's Note: We migrated a 2-year-old Firebase project to Supabase in early 2026 for a fintech client. The reason was data sovereignty (EU-only data residency) and the need for relational reporting that Firestore could not deliver without expensive client-side aggregation. Migration cost roughly six engineering days and required rewriting 40+ document-fan-out queries as Postgres views and joins. The win was query performance: report endpoints that took 4-8 seconds against Firestore returned in 80-200ms against Supabase Postgres. The honest caveat is mobile SDK maturity: Firebase SDKs (especially offline persistence) remain more polished than Supabase mobile clients, and teams shipping iOS/Android apps with offline-first requirements should weight this heavily.