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REST vs. GraphQL: Designing Modern APIs for High Performance

MLSC Web Dev Team
August 12, 2026
7 min read
REST vs. GraphQL: Designing Modern APIs for High Performance

The Core Purpose of APIs

An Application Programming Interface (API) allows different software applications to communicate with each other, most commonly enabling client-side frontend applications to fetch and update data stored in backend databases. Designing a clean, performant API is critical for app response times and server costs.

What is REST?

Representational State Transfer (REST) is an architectural style based on HTTP methods (GET, POST, PUT, DELETE) and resources identified by URIs. In a REST API, you hit specific URLs to perform actions on specific resources:

  • GET /api/users - Fetch all users
  • GET /api/users/1 - Fetch details of user #1
  • POST /api/users - Create a new user

Limitations of REST:

  • Over-fetching: The endpoint returns more data than you need (e.g., retrieving a user's full profile when you only wanted to show their username).
  • Under-fetching: One request is not enough, requiring sequential API calls (e.g., fetching a user's details, then sending another request to get their posts list: GET /api/users/1/posts).

What is GraphQL?

GraphQL is a query language for APIs created by Meta. Instead of having multiple endpoints for different resources, GraphQL exposes a **single endpoint** (typically /graphql) where the client sends a query specifying exactly which fields they need. The server resolves this query and returns exactly what was requested—no more, no less.

Example of a GraphQL Query:

query GetUserDetails {
  user(id: "1") {
    name
    email
    posts {
      title
    }
  }
}

This query retrieves the user's name, email, and the titles of all their posts in a single request, eliminating both over-fetching and under-fetching.

REST vs. GraphQL: Comparison Table

Feature REST API GraphQL
Endpoints Multiple endpoints (URLs) Single endpoint (usually /graphql)
Data Delivery Fixed structure returned by server Flexible structure defined by client query
Caching Built-in HTTP caching works natively Complex, requires specialized client libraries (Apollo)
Versioning Done via URL changes (e.g., /v1/, /v2/) No versioning needed; deprecate fields directly

Which One Should You Choose?

  • Choose REST if: Your application uses standard CRUD operations, you want simple caching, or you are building simple web pages with limited database interactions.
  • Choose GraphQL if: You are building complex mobile and web apps with nested relationships, want to minimize network payload sizes, or integrate data from multiple microservices into a unified schema.

Summary

Both REST and GraphQL are highly effective API patterns. Understanding their strengths in data fetching efficiency, caching overhead, and implementation complexity will help you design clean, scalable APIs for your systems.

© MLSC SVEC Editorial

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