REST vs GraphQL: API Design Approaches Compared

REST organizes APIs around resources with HTTP methods, while GraphQL uses a single endpoint where clients specify their data needs — two API design paradigms.

At a Glance

Key Differences

• Data Fetching: REST endpoints return fixed data structures — you might get 20 fields when you only need 3 (over-fetching). GraphQL lets clients request exactly { id, name, email } — no more, no less. For nested data, REST requires multiple requests or server-side includes; GraphQL resolves nested queries in a single request.
• Caching: REST benefits from HTTP caching natively — GET requests are cacheable by browsers, CDNs, and proxies using Cache-Control headers. GraphQL typically uses POST requests (even for queries), so HTTP caching doesn’t apply. GraphQL caching requires client-side libraries (Apollo Client, Urql) or a CDN layer like GraphQL CDN.
• Versioning: REST APIs typically version with URL prefixes (/v1/users, /v2/users). GraphQL avoids versioning by adding new fields to the schema — existing queries break only if fields are removed. Deprecated fields remain accessible.
• Tooling: GraphQL’s typed schema enables powerful developer tooling — auto-complete in GraphiQL, TypeScript code generation from schema, and query validation at build time. REST tooling is more mature for debugging (curl, Postman, Proxyman).

When to Choose REST

Choose REST for public APIs, simple CRUD applications, and when HTTP caching is critical. REST’s stateless nature and cache-friendly design make it ideal for APIs that serve a wide variety of clients (web, mobile, third-party). If your data model is resource-oriented and doesn’t require complex nested queries, REST is simpler and more predictable. REST is also better for file uploads and operations that don’t fit a query/mutation model.

When to Choose GraphQL

Choose GraphQL for complex UIs that need data from multiple resources in a single request. Mobile applications benefit enormously — GraphQL eliminates under/over fetching, reducing payload size over slower connections. GraphQL shines when your UI evolves rapidly because the frontend controls the data shape, not the backend. If you have multiple client types (web, iOS, Android) with different data needs, GraphQL’s single endpoint with flexible queries reduces backend complexity.

Side by Side Code Example: Get User + Posts

REST

# Two requests to get user and their posts
GET /api/users/42
# Response: { id: 42, name: "Alice", email: "alice@example.com" }

GET /api/users/42/posts
# Response: [{ id: 1, title: "Hello", ... }]

# Or use /api/users/42?_embed=posts (? depends on framework)

// Client code — two requests
const user = await fetch("/api/users/42").then(r => r.json());
const posts = await fetch("/api/users/42/posts").then(r => r.json());

GraphQL

query {
  user(id: 42) {
    name
    email
    posts {
      id
      title
      createdAt
    }
  }
}

// Single request
const data = await fetch("/graphql", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    query: `{ user(id: 42) { name email posts { id title createdAt } } }`
  })
}).then(r => r.json());

REST requires two round trips to fetch a user and their posts (or a server-side include convention). GraphQL resolves the entire nested structure in one request, with the client choosing exactly which fields to include.

FAQ