GraphQL vs REST: Choosing the Right API

Compare GraphQL and REST APIs to understand which approach best suits your project needs.

REST Overview

REST (Representational State Transfer) uses HTTP methods and URLs to interact with resources:

GET    /api/users          → List users
GET    /api/users/123      → Get user 123
POST   /api/users          → Create user
PUT    /api/users/123      → Update user 123
DELETE /api/users/123      → Delete user 123

GraphQL Overview

GraphQL uses a single endpoint with a query language:

# Query exactly what you need
query {
  user(id: "123") {
    name
    email
    posts(limit: 5) {
      title
      publishedAt
    }
  }
}

Key Differences

Over-fetching & Under-fetching

REST: Fixed response shapes can lead to over-fetching (getting more data than needed) or under-fetching (requiring multiple requests).

GraphQL: Clients request exactly the data they need in a single query.

Versioning

REST: Typically versioned via URL (v1, v2) or headers.

GraphQL: Evolves through schema additions without versioning. Deprecated fields are marked and phased out.

Caching

REST: HTTP caching works out of the box with status codes and cache headers.

GraphQL: Requires client-side caching solutions (Apollo Client, urql) since all requests go to a single endpoint.

Error Handling

REST: HTTP status codes (404, 500, etc.) provide clear error semantics.

GraphQL: Always returns 200 OK with errors in the response body.

When to Use REST

• Simple CRUD APIs
• Public APIs with many consumers
• When HTTP caching is critical
• Team familiarity with REST patterns

When to Use GraphQL

• Complex data relationships
• Mobile apps (bandwidth optimization)
• Rapid frontend iteration
• Multiple client platforms

Conclusion

Both REST and GraphQL have their strengths. REST is simpler, well-understood, and great for CRUD-heavy APIs. GraphQL shines when you have complex data requirements, multiple clients, or need precise control over data fetching. Choose based on your project's specific needs.