GraphQL vs REST: A Comprehensive Comparison
Over-fetching, under-fetching, and type safety. Why modern frontends are moving to GraphQL and where REST still shines.
For decades, REST (Representational State Transfer) was the standard for APIs. Then Facebook released GraphQL, shifting the paradigm from resource-based to query-based fetching.
The Problem with REST
Imagine you want to show a user profile with their 3 recent posts.
REST Approach:
GET /users/123-> Returns ALL user data (name, email, address, etc.). (Over-fetching)GET /users/123/posts-> Returns ALL posts.- Client filters the top 3.
You wasted bandwidth downloading unused fields.
The GraphQL Solution
With GraphQL, the client asks for exactly what it needs.
query {
user(id: "123") {
name
email
posts(limit: 3) {
title
excerpt
}
}
}
Single Request. Exact Data.
Key Differences
| Feature | REST | GraphQL |
|---|---|---|
| Endpoint | Multiple (/users, /posts) |
Single (/graphql) |
| Data Fetching | Fixed structure | Client-defined |
| Versioning | v1, v2 (URL based) | Deprecation of fields |
| Caching | Easy (HTTP Caching) | Harder (Needs Apollo/Relay) |
| Type Safety | Loose (JSON) | Strong (Schema Definition) |
When to use what?
Use GraphQL if:
- You have complex, nested data requirements (e.g., social networks, dashboards).
- You have multiple clients (Mobile, Web, Watch) needing different data shapes.
- You want strong typing between frontend and backend.
Use REST if:
- You want simple, cacheable resources.
- You are building a public API for 3rd party developers (REST is universally understood).
- Your data model is flat and simple.
It's not a war. It's about choosing the right tool for the job.