How to handle authentication with PostgREST?

PostgREST uses JSON Web Tokens (JWT) for authentication, with tokens verified against a secret. Authorization is handled via PostgreSQL's role-based permissions, so you need to set up database roles and JWT claims as detailed in the documentation.

PostgREST vs Hasura: which is better for PostgreSQL APIs?

PostgREST is ideal for REST APIs with a focus on simplicity and PostgreSQL integration, while Hasura offers GraphQL subscriptions and more built-in features. Choose PostgREST for pure REST needs and Hasura for GraphQL or real-time requirements.

Can PostgREST handle complex joins and aggregations?

Yes, by leveraging PostgreSQL views and functions, PostgREST can expose complex queries as REST endpoints. However, it requires manual setup in the database schema, and performance depends on PostgreSQL optimization.

Is PostgREST suitable for production use at scale?

Yes, with its Haskell-based architecture and connection pooling, PostgREST handles high loads efficiently. However, scaling requires proper PostgreSQL tuning and horizontal scaling of PostgREST instances, as it's stateless.

How to version APIs with PostgREST?

API versioning is done through database schemas, where you create separate schemas for different versions and use views to maintain backward compatibility. This is outlined in the Versioning section of the README.

Open-Awesome

PostgREST

MITHaskellv14.15

PostgREST instantly generates a RESTful API from any PostgreSQL database, providing a standards-compliant and performant alternative to custom backends.

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What is PostgREST?

PostgREST is a standalone web server that automatically turns any PostgreSQL database into a RESTful API. It eliminates manual backend development by providing CRUD operations, authentication, and authorization directly through the database, ensuring a clean, fast, and secure API layer that leverages PostgreSQL's capabilities.

Target Audience

Backend developers and teams building APIs for PostgreSQL-based applications who want to minimize custom server code and leverage database-centric architecture.

Value Proposition

Developers choose PostgREST for its ability to automatically generate a fully RESTful API from PostgreSQL schemas, reducing development time and ensuring data integrity by making the database the single source of truth for data, business logic, and security.

Overview

REST API for any Postgres database

Use Cases

Best For

Rapidly prototyping or building APIs for PostgreSQL databases without writing custom backend code.
Creating secure, self-documenting REST APIs that automatically reflect database schema changes.
Implementing role-based authentication and authorization directly at the database level using PostgreSQL permissions.
Ensuring high-performance API responses with subsecond latency, leveraging efficient connection pooling and the Warp HTTP server.
Maintaining data integrity across applications by relying on PostgreSQL's declarative constraints rather than application-layer validation.
Versioning APIs through database schemas to allow backward-compatible changes via views and tables.

Not Ideal For

Applications requiring complex, stateful business logic outside the database (e.g., real-time processing or external integrations that can't be handled via SQL)
Teams needing GraphQL, WebSocket, or other non-REST API protocols, as PostgREST only generates RESTful endpoints
Projects where database-agnostic architecture is critical, due to tight coupling with PostgreSQL

Pros & Cons

Pros

Instant REST API Generation

Automatically creates REST endpoints for all tables and views with built-in filtering, sorting, and pagination, eliminating manual backend coding as highlighted in the README under 'Instant REST API'.

High Performance Architecture

Built in Haskell with the Warp HTTP server and efficient connection pooling via Hasql, enabling subsecond response times for up to 2000 requests/sec, as benchmarked in the Performance section.

Integrated Security Model

Handles authentication via JSON Web Tokens and delegates authorization to PostgreSQL's role-based permissions, ensuring a single declarative source of truth for security per the Security section.

Automatic OpenAPI Documentation

Generates OpenAPI specifications for self-documenting APIs, allowing interactive exploration with tools like Swagger-UI, as mentioned in the Self-documentation part of the README.

Cons

PostgreSQL Lock-in

Tightly coupled with PostgreSQL; migrating to another database system would require a complete rewrite of the API layer and business logic embedded in the database.

Limited API Customization

Auto-generated endpoints may not cover all use cases, and creating custom endpoints or complex business logic often requires database workarounds like views or stored procedures, which can be cumbersome.

Steep Learning Curve

Requires deep PostgreSQL expertise for roles, permissions, and constraints to implement security and logic effectively, posing a barrier for teams accustomed to application-layer development.

Frequently Asked Questions

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