A production-ready RESTful API server that instantly exposes your PostgreSQL database as a realtime, high-performance API.
pREST (PostgreSQL REST) is a low-code API server that instantly creates a RESTful, realtime, and high-performance API on top of any PostgreSQL database. It solves the problem of building custom backend APIs by automatically generating endpoints from your database schema, simplifying and accelerating development.
Developers and teams building applications with PostgreSQL who need a fast, secure, and scalable REST API without writing extensive backend code, particularly those working on new or existing Postgres-based projects.
Developers choose pREST for its instant setup, high performance, and ability to expose PostgreSQL databases as REST APIs with minimal configuration, leveraging Go's efficiency and a pluggable architecture for extensibility.
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new
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Automatically creates REST endpoints from any PostgreSQL schema, eliminating manual API coding as highlighted in the key features, accelerating development from the start.
Enables executing SQL queries with templating via URL parameters, providing flexible data access without writing custom backend code, as specified in the features list.
Built with Go for efficiency and optimized for high-throughput applications, ensuring fast response times and scalability, aligned with the project's performance focus.
Includes authentication and authorization features out of the box, offering secure data access controls, which is a key selling point for production readiness.
Supports pluggable custom routes and middleware, allowing for easy extension and integration, as mentioned in the pluggable architecture feature.
Only supports PostgreSQL databases, limiting its use for projects that require or plan to migrate to other database systems, with no native alternatives offered.
Focuses solely on REST APIs; lacks built-in support for GraphQL or other API paradigms, which might necessitate additional tooling for diverse API needs.
For complex business logic beyond basic CRUD, implementing custom middleware or routes can add development overhead compared to full-fledged backend frameworks with integrated logic layers.