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Open-Source Databases · PostgREST

postgrest

PostgREST automatically generates a fully RESTful API directly from your PostgreSQL database schema, eliminating the need to write custom API code. It handles authentication via JWT, delegates authorization to database roles, and delivers subsecond response times by offloading computation to SQL.

Source: GitHub — github.com/PostgREST/postgrest
27.4k
GitHub stars
1.2k
Forks
Haskell
Primary language
MIT
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
RepositoryPostgREST/postgrest
OwnerPostgREST
Primary languageHaskell
LicenseMIT — OSI-approved
Stars27.4k
Forks1.2k
Open issues390
Latest releasev14.14 (2026-06-29)
Last updated2026-07-07
Sourcehttps://github.com/PostgREST/postgrest

What postgrest is

A Haskell-based HTTP server that introspects PostgreSQL schemas and exposes tables and views as REST endpoints with automatic OpenAPI documentation. It uses connection pooling, the PostgreSQL binary protocol, and delegates filtering, aggregation, authorization, and JSON serialization to the database layer.

Quickstart

Get the postgrest source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/PostgREST/postgrest.gitcd postgrest# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Rapid CRUD API prototyping

Deploy a production-ready REST API in minutes without writing endpoint handlers; ideal for MVPs, internal tools, and data-driven applications where schema-first development aligns with API requirements.

Multi-tenant applications with row-level security

Leverage PostgreSQL's role-based access control and RLS policies to enforce per-user data visibility; PostgREST transparently applies these rules at query time without additional application logic.

High-throughput, low-latency read-heavy workloads

Compiled Haskell runtime, connection pooling, and query delegation to PostgreSQL yield subsecond responses for analytics dashboards, reporting APIs, and systems handling thousands of concurrent requests.

Implementation considerations

  • Schema design becomes API contract; carefully plan table structures, views, and stored procedures early, as API surface is derived directly from database objects.
  • Authentication is JWT-based by default; plan token generation, refresh logic, and integration with identity providers (OAuth2, SAML) before deployment.
  • Row-level security (RLS) policies must be defined in PostgreSQL and tested thoroughly; misconfiguration can inadvertently expose data across users.
  • Connection pooling and query complexity require monitoring; validate that database can handle expected QPS and that N+1 query patterns are avoided through proper view design.
  • Staging and version management via database schemas; plan schema migration workflows and consider using tools like Flyway or Liquibase for reproducible deployments.

When to avoid it — and what to weigh

  • Complex business logic outside the database — If your API requires non-trivial procedural logic, state machines, or orchestration beyond SQL expressions and stored procedures, PostgREST's database-centric model may become limiting; consider a traditional application framework.
  • Non-PostgreSQL data sources — PostgREST is tightly coupled to PostgreSQL. If you need to expose APIs over MongoDB, DynamoDB, REST endpoints, or heterogeneous sources, this tool does not apply.
  • Heavy customization of API behavior — PostgREST generates endpoints automatically from schema. If you need fine-grained request/response transformation, custom error handling, or endpoint-specific logic, you will need to supplement with middleware or custom code.
  • Unfamiliar with PostgreSQL permissions and RLS — Effective use requires confident authoring of database roles, policies, and functions. Teams without strong PostgreSQL expertise may face a learning curve in modeling authorization correctly.

License & commercial use

Licensed under the MIT License, a permissive open-source license that allows use, modification, and distribution for any purpose, including commercial, with minimal restrictions.

MIT License explicitly permits commercial use. No license fee, royalty, or commercial support requirement is imposed. However, commercial support, hosting, and consulting are available through sponsors (e.g., Supabase, Cybertec). Review the MIT terms to confirm compliance with your internal policy.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationStrong
License clarityClear
Deployment complexityLow
DEV.co fitStrong
Assessment confidenceHigh
Security considerations

PostgREST does not introduce authentication mechanisms on its own; it relies on JWTs and delegates authorization to PostgreSQL roles and RLS policies. Security posture depends entirely on correct configuration of database permissions, RLS policies, and JWT secret management. Ensure the PostgreSQL instance is network-isolated, enforce SSL/TLS for connections, rotate secrets regularly, and audit role definitions. The README mentions authentication and authorization but does not detail vulnerability disclosure policy or past security incidents; review security advisories independently.

Alternatives to consider

Directus

No-code/low-code CMS and API platform for SQL databases; offers GUI for schema and permission management, better for non-technical users, but less performant than PostgREST and more opinionated about data modeling.

Hasura

GraphQL-first API engine for PostgreSQL and other databases; more flexible for complex queries and real-time subscriptions, but heavier footprint and different query language than REST.

Custom REST framework (Express, FastAPI, Spring)

Provides maximum flexibility for business logic and custom endpoints, but requires significantly more development effort, maintenance burden, and operational overhead compared to PostgREST.

Software development agency

Build on postgrest with DEV.co software developers

PostgREST eliminates boilerplate REST code by leveraging PostgreSQL as the source of truth. Let's evaluate if schema-driven API generation fits your architecture and help you plan a secure, scalable deployment.

Talk to DEV.co

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postgrest FAQ

Can I add custom business logic beyond what the database supports?
Yes, via PostgreSQL stored procedures and functions exposed as RPC endpoints. For complex workflows requiring external services, you can supplement PostgREST with middleware or a BFF layer.
How is authentication handled?
PostgREST expects JWT tokens in the Authorization header. Tokens are verified against a shared secret or JWKS endpoint. You must provide a separate service to issue tokens; PostgREST does not generate them.
Does it scale to production workloads?
Yes. PostgREST is stateless and can be deployed across multiple instances behind a load balancer. Performance bottleneck is typically the PostgreSQL database, not PostgREST itself. The README claims subsecond responses for 2000 req/sec on constrained infrastructure.
Can I use it with databases other than PostgreSQL?
No. PostgREST is built specifically for PostgreSQL and introspects PostgreSQL system catalogs. Other databases are not supported.

Custom software development services

DEV.co helps companies turn open-source tools like postgrest into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source databases stack.

Ready to accelerate your API development?

PostgREST eliminates boilerplate REST code by leveraging PostgreSQL as the source of truth. Let's evaluate if schema-driven API generation fits your architecture and help you plan a secure, scalable deployment.