Tools· Software Development & Technical Infrastructure

    Supabase

    Supabase is an open source backend-as-a-service platform built on Postgres, providing database, authentication, storage, and edge functions in a single tool.

    executableOpen Source

    Description

    Strengths

    Postgres foundation
    A regular relational database with SQL, foreign keys, and row level security replaces the proprietary NoSQL structure of other backend-as-a-service platforms.
    Automatically generated APIs
    REST and GraphQL interfaces are generated directly from the database schema, without manual code for every endpoint.
    Bundled backend building blocks
    Authentication, storage with a CDN, edge functions, and a realtime service run on one platform instead of several separately connected services.
    Local development through the CLI
    The Supabase CLI allows local projects and keeps database changes in sync across a team before they go live.

    Assessment

    AI features

    • Vector search through pgvector Embeddings can be stored, indexed, and queried directly in the same Postgres database as the rest of the data, as the foundation for retrieval-augmented generation.
    • MCP server for AI assistants Connects tools such as Claude to a Supabase project through the Model Context Protocol, for database queries, SQL execution, a migrations overview, and TypeScript type generation directly from the session.
    • Read-only mode for AI access MCP connections can be restricted to read access and individual projects, as protection against unauthorized write access.

    Suitable for

    • Web and mobile apps that need a relational Postgres database instead of a NoSQL structure
    • Projects with their own auth flow, where access rights should be mapped directly through row level security at the database level
    • Retrieval-augmented-generation applications that need vector search directly in the same database as the rest of the data
    • Teams that want to move away from a closed backend platform and value portability and open standards
    • Less suitable for Less suitable for projects that need to scale down to zero reliably; a true serverless database remains the cheaper option there

    Limitations and notes

    • No scale-to-zero on the Pro plan Unlike pure serverless providers, the paid Pro plan runs a booked compute instance continuously, so choosing the right instance size has the biggest lever on cost.
    • SOC2 only from the Team plan For compliance-heavy projects the Pro plan alone is not enough; the certification is only included in the Team plan above it.
    • Never point MCP access at production For AI-assisted database access through the MCP server, a development project, read-only mode, and a manual review of every generated call are explicitly recommended, because of the risk of prompt injection through database content.

    Quick start

    1. Create a new project in the Supabase dashboard.
    2. Check the project's API keys and store them for auth requests.
    3. Load sample data into the database.
    4. Pick a framework, such as React, Next.js, Vue, or Flutter, and open the matching quickstart guide.
    5. Query data from your own application through a client library.
    6. Optionally, develop locally with the Supabase CLI and keep changes in sync across the team.

    Tips

    • Work directly in the dashboard's SQL editor for fast prototyping, instead of testing every query through a client library.
    • Enable row level security from the start rather than retrofitting it later, otherwise policies are easily forgotten.
    • Set read-only mode as the default for the MCP server and only widen it for individual sessions when needed.
    • Estimate actual usage load before choosing a compute tier, because the Pro plan charges continuously rather than only on use.

    Access

    Last reviewed: · Pricing, plans and features are a snapshot in time. Check the provider's own page before deciding.

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