Cloud Infrastructure🔴Developer

Supabase

Name: Supabase
Brand: Supabase
Availability: InStock

Open-source Firebase alternative built on PostgreSQL providing database, authentication, real-time subscriptions, edge functions, storage, and vector search — with auto-generated REST and GraphQL APIs.

Starting atFree

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In Plain English

An open-source alternative to Firebase — instant database, authentication, and storage for your apps, powered by PostgreSQL.

Overview

Supabase has positioned itself as the open-source Firebase alternative, providing a complete backend-as-a-service platform built on PostgreSQL with real-time capabilities that rival Google's offering. The platform's foundation on PostgreSQL immediately differentiates it from Firebase's NoSQL approach, offering full SQL support, ACID transactions, complex joins, and mature ecosystem tools. Real-time functionality is exceptional — any database change can trigger WebSocket updates to connected clients with row-level security ensuring users only receive data they're authorized to see. The authentication system supports social logins, magic links, and custom providers while integrating seamlessly with row-level security policies. Edge Functions provide serverless compute using Deno runtime, enabling custom business logic without separate server infrastructure. Storage includes a CDN with image transformations and policy-based access control. The dashboard provides a spreadsheet-like interface for data management plus SQL editor, making it accessible to non-developers while maintaining full PostgreSQL power for technical users. Self-hosting is genuinely supported with Docker containers and migration tools, preventing vendor lock-in concerns. The pgvector extension enables vector similarity search for AI applications, making Supabase a viable vector database alongside its traditional relational capabilities. Integration with existing PostgreSQL infrastructure is seamless since Supabase is essentially managed PostgreSQL with additional services layered on top.

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Using with OpenClaw

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Integrate Supabase with OpenClaw through REST APIs or client libraries for database queries, user management, file storage, and real-time subscriptions in automation workflows.

Use Case Example:

Backend data storage, user authentication, and real-time data synchronization for AI agent applications.

Learn about OpenClaw →

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Vibe Coding Friendly?

▼

Difficulty:beginner

No-Code Friendly ✨

Dashboard provides spreadsheet-like data management and SQL editor. Auto-generated APIs enable frontend development without backend coding.

Learn about Vibe Coding →

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Editorial Review

Supabase has become the go-to open-source backend for developers and startups, offering PostgreSQL database, auth, storage, edge functions, and realtime subscriptions in a single platform. The developer experience rivals Firebase while offering the full power of PostgreSQL. The pgvector extension makes it particularly strong for AI applications needing both traditional database and vector search capabilities in one place. Limitations include Edge Function cold starts, single-region deployment on lower tiers, and real-time costs at scale.

Key Features

•PostgreSQL Database
•Real-time Subscriptions
•Built-in Authentication
•Storage & CDN
•Edge Functions (Deno)
•Database Functions
•Vector Search (pgvector)
•Auto-Generated REST API
•GraphQL API
•Row-Level Security
•Database Branching
•CLI & Local Development

Pricing Plans

Free

Pro

Contact for pricing

Team

Contact for pricing

Enterprise

Custom

See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with Supabase?

View Pricing Options →

Getting Started with Supabase

1Create a Supabase project at supabase.com and configure your database schema using the dashboard or SQL editor
2Set up authentication providers (Google, GitHub, email/password) and define row-level security policies
3Install the Supabase client library (JavaScript, Python, Flutter, Swift, Kotlin) and connect to your project
4Use auto-generated APIs to query data from your frontend without writing backend code
5Deploy Edge Functions for custom server-side logic and configure storage buckets for file uploads

Ready to start? Try Supabase →

Best Use Cases

🎯

Full-stack web applications requiring PostgreSQL with real-time features, authentication, and file storage in a single platform

⚡

AI and machine learning applications needing vector storage and similarity search alongside traditional relational data via pgvector

🔧

Multi-tenant SaaS platforms leveraging row-level security for data isolation without application-level filtering logic

🚀

Real-time collaborative applications like chat systems, live dashboards, or multiplayer games using WebSocket subscriptions

💡

Startup MVPs and rapid prototypes that need a production-ready backend with auto-generated APIs and no infrastructure management

🔄

Self-hosted deployments where teams need full control over their backend infrastructure without vendor lock-in

Integration Ecosystem

17 integrations

Supabase works with these platforms and services:

🧠 LLM Providers

OpenAI

📊 Vector Databases

pgvector

☁️ Cloud Platforms

AWSVercelRailwaynetlify

💬 Communication

SlackEmail

🗄️ Databases

PostgreSQL

🔐 Auth & Identity

Auth0Clerk

💾 Storage

⚡ Code Execution

deno

🔗 Other

GitHubZapierstripenext-js

View full Integration Matrix →

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Supabase doesn't handle well:

⚠Edge Functions use Deno runtime with a smaller ecosystem than Node.js — not all npm packages work without modification
⚠Real-time subscriptions can become expensive at scale due to concurrent connection limits and bandwidth overage charges
⚠Limited to PostgreSQL — if your use case requires a different database engine or NoSQL flexibility, Supabase isn't the right fit
⚠Free tier limited to 2 projects with 500MB storage, which teams often outgrow during serious development
⚠Global latency depends on the single region where your project is deployed — no built-in multi-region replication on lower tiers
⚠Self-hosting requires significant DevOps expertise to manage PostgreSQL, GoTrue auth, storage, and realtime services

Pros & Cons

✓ Pros

✓Open-source architecture prevents vendor lock-in with genuine self-hosting support via Docker and comprehensive migration tooling
✓Full PostgreSQL foundation provides SQL power, ACID transactions, advanced indexing, and 30+ years of ecosystem maturity
✓Auto-generated REST and GraphQL APIs eliminate backend boilerplate and accelerate development with type-safe client libraries
✓pgvector extension makes Supabase a viable combined relational + vector database for AI applications
✓Generous free tier (500MB database, 50K MAUs, unlimited API requests) enables significant development without upfront costs
✓Comprehensive platform (database, auth, storage, functions, real-time) reduces the number of services to manage and integrate

✗ Cons

✗PostgreSQL-only approach means no NoSQL flexibility — teams needing document stores or graph databases need additional infrastructure
✗Edge Functions use Deno runtime which has a smaller package ecosystem than Node.js serverless options like AWS Lambda or Vercel Functions
✗Real-time subscriptions and storage bandwidth can produce unexpected overage charges on the Pro plan without careful monitoring
✗Single-region deployment on Free and Pro tiers means higher latency for globally distributed users
✗Free tier's 2-project limit and 500MB storage cap are quickly outgrown during active development
✗Self-hosting complexity is significant — managing PostgreSQL, GoTrue, storage, and realtime services requires dedicated DevOps resources

Frequently Asked Questions

How does Supabase compare to Firebase for real-time applications?+

Supabase offers full SQL support with PostgreSQL (joins, transactions, complex queries) while Firebase uses a NoSQL document model. Supabase real-time works through database change detection with row-level security filtering. Firebase has broader global infrastructure and stronger offline sync. Choose Supabase for relational data and SQL power; Firebase for simpler data models needing Google ecosystem integration and offline-first mobile apps.

Can I migrate an existing PostgreSQL database to Supabase?+

Yes, migration is straightforward since Supabase is managed PostgreSQL. Import schema and data using standard PostgreSQL tools like pg_dump/pg_restore. Supabase provides migration guides and the CLI includes migration management. You can enable real-time features on existing tables with simple SQL commands after migration.

Is Supabase good for AI applications?+

Yes. The pgvector extension enables vector similarity search directly in PostgreSQL, so you can store embeddings alongside relational data and run hybrid queries (vector search + SQL filters) in a single database. This makes Supabase practical for RAG pipelines, semantic search, and recommendation engines without needing a separate vector database.

How does pricing work when you exceed free tier limits?+

On the Pro plan ($25/month), resources beyond included limits are billed at pay-as-you-go rates. Database storage beyond 8GB costs $0.125/GB. Bandwidth beyond 250GB costs $0.09/GB. Additional Edge Function invocations are $2 per million. The free tier has hard limits — your project pauses if you exceed them rather than incurring charges.

Is Supabase production-ready for enterprise use?+

Yes. The Team plan ($599/month) includes SOC2 compliance, priority support, and organization-level management. Enterprise plans add HIPAA compliance, dedicated infrastructure, custom SLAs, and point-in-time recovery. Thousands of production applications run on Supabase including companies like Mozilla, PwC, and Humata.

🔒 Security & Compliance

🛡️ SOC2 Compliant

✅

SOC2

Yes

✅

GDPR

Yes

✅

HIPAA

Yes

✅

SSO

Yes

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Self-Hosted

Hybrid

✅

On-Prem

Yes

✅

RBAC

Yes

✅

Audit Log

Yes

✅

API Key Auth

Yes

✅

Open Source

Yes

✅

Encryption at Rest

Yes

✅

Encryption in Transit

Yes

Data Retention: configurable

Data Residency: US, EU, ASIA

📋 Privacy Policy →🛡️ Security Page →

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What's New in 2026

In 2025-2026, Supabase enhanced pgvector performance for AI workloads with improved indexing and hybrid search capabilities. Edge Functions gained better cold start times and npm compatibility. The platform added branching for database development workflows, improved local development with the Supabase CLI, and expanded data residency options across US, EU, and Asia regions. The Team plan launched at $599/month providing SOC2 compliance and organization-level management.

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User Reviews

No reviews yet. Be the first to share your experience!

Quick Info

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More about Supabase

Pricing Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

Overview

Editorial Review

Getting Started with Supabase

1Create a Supabase project at supabase.com and configure your database schema using the dashboard or SQL editor

2Set up authentication providers (Google, GitHub, email/password) and define row-level security policies

3Install the Supabase client library (JavaScript, Python, Flutter, Swift, Kotlin) and connect to your project

4Use auto-generated APIs to query data from your frontend without writing backend code

5Deploy Edge Functions for custom server-side logic and configure storage buckets for file uploads

Best Use Cases

🎯

Full-stack web applications requiring PostgreSQL with real-time features, authentication, and file storage in a single platform

⚡

AI and machine learning applications needing vector storage and similarity search alongside traditional relational data via pgvector

🔧

Multi-tenant SaaS platforms leveraging row-level security for data isolation without application-level filtering logic

🚀

Real-time collaborative applications like chat systems, live dashboards, or multiplayer games using WebSocket subscriptions

💡

Startup MVPs and rapid prototypes that need a production-ready backend with auto-generated APIs and no infrastructure management

🔄

Self-hosted deployments where teams need full control over their backend infrastructure without vendor lock-in

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Supabase doesn't handle well:

⚠Edge Functions use Deno runtime with a smaller ecosystem than Node.js — not all npm packages work without modification

⚠Real-time subscriptions can become expensive at scale due to concurrent connection limits and bandwidth overage charges

⚠Limited to PostgreSQL — if your use case requires a different database engine or NoSQL flexibility, Supabase isn't the right fit

⚠Free tier limited to 2 projects with 500MB storage, which teams often outgrow during serious development

⚠Global latency depends on the single region where your project is deployed — no built-in multi-region replication on lower tiers

⚠Self-hosting requires significant DevOps expertise to manage PostgreSQL, GoTrue auth, storage, and realtime services

Pros & Cons

✓ Pros

✓Open-source architecture prevents vendor lock-in with genuine self-hosting support via Docker and comprehensive migration tooling
✓Full PostgreSQL foundation provides SQL power, ACID transactions, advanced indexing, and 30+ years of ecosystem maturity
✓Auto-generated REST and GraphQL APIs eliminate backend boilerplate and accelerate development with type-safe client libraries
✓pgvector extension makes Supabase a viable combined relational + vector database for AI applications
✓Generous free tier (500MB database, 50K MAUs, unlimited API requests) enables significant development without upfront costs
✓Comprehensive platform (database, auth, storage, functions, real-time) reduces the number of services to manage and integrate

✗ Cons

✗PostgreSQL-only approach means no NoSQL flexibility — teams needing document stores or graph databases need additional infrastructure
✗Edge Functions use Deno runtime which has a smaller package ecosystem than Node.js serverless options like AWS Lambda or Vercel Functions
✗Real-time subscriptions and storage bandwidth can produce unexpected overage charges on the Pro plan without careful monitoring
✗Single-region deployment on Free and Pro tiers means higher latency for globally distributed users
✗Free tier's 2-project limit and 500MB storage cap are quickly outgrown during active development
✗Self-hosting complexity is significant — managing PostgreSQL, GoTrue, storage, and realtime services requires dedicated DevOps resources