How do I handle user authentication with PostgREST?

PostgREST uses JSON Web Tokens (JWT) for authentication. You need to configure a JWT secret and set up PostgreSQL roles to manage permissions; the server assumes the authenticated user's identity for all database operations, as described in the security section.

PostgREST vs building a custom API in Node.js or Python?

PostgREST automates API generation for speed and consistency, ideal for CRUD-heavy apps, but lacks flexibility for custom logic outside SQL. Custom APIs offer more control but require significantly more development time and maintenance.

How to version APIs with PostgREST?

Versioning is done through database schemas. Create new schemas for different API versions and use views to expose data, allowing backward-compatible changes without breaking existing clients, as explained in the versioning support.

Can PostgREST handle real-time features like websockets?

No, PostgREST is a RESTful HTTP server and does not support websockets or real-time communication. You would need to implement a separate service for such features alongside PostgREST.

How do I filter and sort data in PostgREST requests?

Use query parameters in HTTP requests, such as ?select=*, ?order=column.asc, and ?column=eq.value, based on the auto-generated OpenAPI documentation, which provides a standard interface for data manipulation.

Is PostgREST suitable for production with high traffic?

Yes, with its high-performance architecture and connection pooling, it's production-ready. Benchmarks show it handling thousands of requests per second, but ensure PostgreSQL is tuned for optimal performance and security.

postgrest — Auto-Generated PostgreSQL REST API

What is postgrest?

PostgREST is a standalone web server that automatically generates a RESTful API from an existing PostgreSQL database. It reads the database schema and creates corresponding HTTP endpoints for tables, views, and stored procedures, eliminating the need for manual backend development. It solves the problem of building and maintaining custom API layers by providing a standards-compliant, high-performance interface directly from the database.

Target Audience

Backend developers, database administrators, and teams building applications with PostgreSQL who want to quickly expose a secure, performant API without writing boilerplate code. It's also suitable for projects prioritizing a single declarative source of truth for data and API logic.

Value Proposition

Developers choose PostgREST because it dramatically reduces development time by auto-generating a robust API, ensures data integrity through PostgreSQL constraints, and delivers exceptional performance via its Haskell foundation and efficient database communication. Its declarative approach centralizes security and business logic in the database, simplifying maintenance.

REST API for any Postgres database

Use Cases

Best For

Rapidly prototyping a backend API from an existing PostgreSQL database
Building microservices that require direct, secure database access
Creating internal tools or admin panels that need a ready-made API
Projects where data integrity and security are enforced at the database level
Teams wanting to avoid ORM overhead and manual CRUD endpoint coding
Generating self-documenting OpenAPI specs directly from database schema

Not Ideal For

Projects requiring integration with non-PostgreSQL databases or polyglot persistence layers
Applications with complex, stateful business logic that doesn't fit well into stored procedures or database views
Teams lacking in-depth PostgreSQL expertise for managing role-based permissions and JWT authentication setup

Pros & Cons

Pros

Automatic REST Endpoints

Generates CRUD endpoints for tables, views, and stored procedures without manual coding, eliminating boilerplate backend development as highlighted in the key features.

High Performance Architecture

Built in Haskell with the Warp HTTP server and uses PostgreSQL's binary protocol, delivering subsecond response times for up to 2000 requests/sec on Heroku free tier, per performance benchmarks.

Integrated Security Model

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

Self-Documenting API

Automatically generates OpenAPI-compliant documentation, allowing interactive exploration with tools like Swagger-UI directly from the database schema.

Cons

PostgreSQL Lock-In

Exclusively tied to PostgreSQL, making migration to other databases difficult and limiting use in environments requiring heterogeneous data sources.

Complex Debugging Overhead

Pushing business logic into the database can obscure errors in SQL rather than application code, increasing debugging complexity for developers unfamiliar with PostgreSQL.

Steep Initial Setup

Requires upfront configuration of JWT, database roles, and schema design, which can be a barrier for teams without PostgreSQL administration experience.

Frequently Asked Questions

What is postgrest?

Target Audience

Value Proposition

Use Cases

Best For

Rapidly prototyping a backend API from an existing PostgreSQL database
Building microservices that require direct, secure database access
Creating internal tools or admin panels that need a ready-made API
Projects where data integrity and security are enforced at the database level
Teams wanting to avoid ORM overhead and manual CRUD endpoint coding
Generating self-documenting OpenAPI specs directly from database schema

Not Ideal For

Projects requiring integration with non-PostgreSQL databases or polyglot persistence layers
Applications with complex, stateful business logic that doesn't fit well into stored procedures or database views
Teams lacking in-depth PostgreSQL expertise for managing role-based permissions and JWT authentication setup

Pros & Cons

Pros

Automatic REST Endpoints

Generates CRUD endpoints for tables, views, and stored procedures without manual coding, eliminating boilerplate backend development as highlighted in the key features.

High Performance Architecture

Built in Haskell with the Warp HTTP server and uses PostgreSQL's binary protocol, delivering subsecond response times for up to 2000 requests/sec on Heroku free tier, per performance benchmarks.

Integrated Security Model

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

Self-Documenting API

Automatically generates OpenAPI-compliant documentation, allowing interactive exploration with tools like Swagger-UI directly from the database schema.

Cons

PostgreSQL Lock-In

Exclusively tied to PostgreSQL, making migration to other databases difficult and limiting use in environments requiring heterogeneous data sources.

Complex Debugging Overhead

Pushing business logic into the database can obscure errors in SQL rather than application code, increasing debugging complexity for developers unfamiliar with PostgreSQL.

Steep Initial Setup

Requires upfront configuration of JWT, database roles, and schema design, which can be a barrier for teams without PostgreSQL administration experience.

Frequently Asked Questions

postgrest

What is postgrest?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

postgrest

What is postgrest?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?