Supabase

Open-source backend platform built on Postgres with auth, storage, and realtime APIs.

4.7 (6)

レビュー: Daniel Nikulshyn·更新 2026年5月

Backend Self-Hostable Open Source Vector Search Database Postgres Developer Tools Authentication

概要

Supabase is an open-source backend-as-a-service that gives developers a full Postgres database along with the tools needed to ship modern applications. It bundles authentication, file storage, instant REST and GraphQL APIs, realtime subscriptions, and serverless edge functions into a single managed platform. While not strictly an AI tool, Supabase has become a popular backend choice for AI projects thanks to its pgvector support for embeddings and similarity search. Teams use it to store vectors, manage user data, and power retrieval-augmented generation workflows alongside traditional app features. Developers can self-host the stack or use the hosted cloud service, with client libraries available for JavaScript, Python, Dart, Swift, and other languages.

主な機能

Managed Postgres database with extensions
Built-in authentication and user management
Object storage with access controls
Realtime subscriptions over websockets
Vector embeddings via pgvector
Edge functions and auto-generated APIs

ユースケース

RAG Vector Store for AI Apps

Use pgvector to store and query embeddings for retrieval-augmented generation, combining semantic search with relational user data in one Postgres database.

Full-Stack App Backend

Ship modern web and mobile apps quickly using built-in auth, file storage, and auto-generated REST and GraphQL APIs without writing custom backend code.

Realtime Collaborative Features

Power chat, live dashboards, and multi-user collaboration with realtime subscriptions over websockets backed by Postgres change streams.

Self-Hosted Backend for Data Control

Deploy the entire open-source Supabase stack on your own infrastructure to retain full data ownership and avoid vendor lock-in while keeping standard Postgres compatibility.

メリット & デメリット

メリット

Fully open source and self-hostable
Built on standard Postgres with no lock-in
pgvector support for AI and embeddings
Generous free tier for prototyping
Integrated auth, storage, and realtime

デメリット

Some advanced features still maturing
Row-level security has a learning curve
Cold starts on edge functions
Scaling large workloads can get pricey

レビュー

4.7

6件の評価の平均。

レビューを投稿するにはログインしてください。

Elena Rossi

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on built-in authentication and user management, and fully open source and self-hostable caught me off guard. still, I'd recommend giving it a real trial.

Hiroshi Tanaka

Solid for our team

We rolled this out across the team last quarter and pgvector support for AI and embeddings. Built-in authentication and user management fits neatly into how we already work, and built-in authentication and user management removed a step we used to do by hand. Cold starts on edge functions, which is the main caveat, but it has held up under daily use.

Sofia Lindqvist

Compared a few options

Evaluated this against two competitors. Where it wins: managed Postgres database with extensions and fully open source and self-hostable. On balance the feature set — especially vector embeddings via pgvector — justifies the 5 stars for our use case.

Wei Chen

Years in this space

I've evaluated a lot of these over the years. What stands out here is vector embeddings via pgvector — handled better than most — and built on standard Postgres with no lock-in. Scaling large workloads can get pricey is my one real gripe. Worth the time if this is your use case.

Mei-Ling Wong

Use it every day

Honestly didn't expect to like it this much. Vector embeddings via pgvector is exactly what I needed, and generous free tier for prototyping. but I reach for it almost every day now and it just clicks.

Naomi Suzuki

Compared a few options

Evaluated this against two competitors. Where it wins: realtime subscriptions over websockets and fully open source and self-hostable. On balance the feature set — especially managed Postgres database with extensions — justifies the 5 stars for our use case.