FraiseQL

API & Backend-as-a-Service Platforms

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FraiseQL is a high-performance API framework designed to simplify data access and integration across multiple databases and programming languages by enabling developers to define schemas, compile, and serve data through a single binary without the need for resolvers or ORMs. It features zero N+1 query patterns, pre-computed nested data, minimal latency, and secure data exposure through view-based access controls, making it ideal for architects, data engineers, AI engineers, and DevOps professionals seeking streamlined, database-agnostic solutions for scalable, secure, and efficient API development.

FraiseQL can be found in API & Backend-as-a-Service Platforms categories.

The most similar products to FraiseQL are:

RogueDB Verified profile Promoted → Huels, Bayer and Watsica Plus Verified profile Promoted → GraphQL → Devii → Litestar →

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FraiseQL Main Features

• Many SDKs
  You can use many programming languages like Python, TypeScript, Go, Java, C#, PHP, Ruby, and more.
• Fast Performance
  It can deliver data in less than a millisecond.
• Zero N+1 Problem
  It avoids complex and slow data retrieval issues by designing data to be nested once.
• Built-in Security
  Views control what data can be seen, preventing accidental leaks of sensitive info.
• Database Agnostic
  You can switch or deploy across different databases without changing your schema.
• Schema Definition
  You can define your database schema easily for your project.
• Various Transports
  You can send data using GraphQL, REST, gRPC, or Arrow Flight.
• No Resolvers or ORM
  There is no need for resolvers or object-relational mappers, making things simpler.
• AI-Native Development
  Changes map directly to SQL, keeping logic in the database and reducing scattered code.
• One Query Per Request
  It handles only one query each time, even for complex data.
• Compiled API Framework
  It works with any database, programming language, and transport, using just one binary file.
• Single Query Simplicity
  Only one query is needed to get all related data, no matter how complex.
• Pre-Computed Nested Data
  Nested data is calculated once, making responses faster.
• Multiple Database Support
  It supports PostgreSQL, MySQL, SQLite, and SQL Server databases.
• Simplified Infrastructure
  No need for extra tools like Redis, and fewer services make operations easier.

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