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REST API vs GraphQL: Which One Should You Use?

REST and GraphQL are the two dominant API architectures. Here’s how they compare.

The Core Difference

REST exposes multiple endpoints, each returning fixed data structures.

GraphQL exposes a single endpoint where clients specify exactly what data they need.

REST:
  GET /users          → id, name, email, address, phone, created_at
  GET /users/1/posts  → id, title, body, created_at
  GET /users/1/posts/1/comments → ...

GraphQL:
  POST /graphql       → query { user(id: 1) { name posts { title } } }

Data Fetching

REST

// Fetch a user and their posts — 2 requests
const user = await fetch('/api/users/1').then(r => r.json());
const posts = await fetch('/api/users/1/posts').then(r => r.json());

GraphQL

// Fetch user + posts in one request
const query = `
  query {
    user(id: 1) {
      name
      email
      posts {
        title
        createdAt
      }
    }
  }
`;
const data = await fetch('/graphql', {
  method: 'POST',
  body: JSON.stringify({ query })
}).then(r => r.json());

When REST Wins

Caching

REST leverages HTTP caching natively:

GET /api/products
Cache-Control: public, max-age=300

Browsers, CDNs, and proxies cache REST responses automatically. GraphQL requires manual caching (Apollo, Relay).

File Uploads

REST handles file uploads simply with multipart forms. GraphQL requires custom implementations or third-party extensions.

Simplicity

For simple CRUD apps with few clients, REST is faster to build and easier to understand.

Server-side performance

REST queries are predictable — you know exactly what will execute. GraphQL allows clients to request expensive nested queries that could strain your server (requires query complexity analysis and rate limiting).

When GraphQL Wins

Multiple clients

If you have a web app, mobile app, and third-party API consumers, GraphQL lets each client request exactly what it needs:

// Mobile: needs few fields
query { user(id: 1) { name avatar } }

// Web dashboard: needs everything
query { user(id: 1) { name email address phone createdAt } }

Rapid frontend iteration

New UI features can request new data without backend changes. Backend teams just ensure the data is available in the schema.

Batching

GraphQL eliminates N+1 queries and over-fetching. A dashboard view that needs 10 REST endpoints becomes one GraphQL query.

Evolving APIs

GraphQL schemas are self-documenting. Deprecated fields remain in the schema but are marked. Clients update at their own pace.

Comparison Table

FactorRESTGraphQL
MaturityVery mature (20+ years)Growing (10+ years)
Learning curveLowMedium
CachingBuilt-in (HTTP)Manual (Apollo, Relay)
File uploadsSimpleComplex
Over-fetchingCommonNone (client-defined)
Under-fetchingCommonNone (nested queries)
VersioningURL or header basedNot needed (field deprecation)
ToolingExtensive (Postman, curl)Growing (GraphiQL, Apollo Studio)
CDN compatibilityExcellentLimited
Query complexityPredictableVariable (needs protection)
Real-timeWebSockets + pollingSubscriptions (built-in)
SchemaImplicit (documentation)Explicit (SDL)

Hybrid Approach

Many teams use both:

REST for:                 GraphQL for:
- Public APIs             - Internal dashboards
- File uploads            - Mobile apps
- Simple CRUD             - Complex data views
- Cached content          - Rapid prototyping
- Webhook callbacks       - Cross-service aggregation

Decision Guide

Choose REST when:

  • You’re building a simple CRUD API
  • You need excellent caching (public APIs, CDNs)
  • Your API consumers are external/third-party
  • You handle large file uploads
  • Your team is small and needs fast delivery

Choose GraphQL when:

  • You have multiple clients with different needs (web, mobile, etc.)
  • You’re building complex dashboards with nested data
  • Your frontend team iterates faster than your backend
  • You want a self-documenting API
  • You need real-time subscriptions

Related: Learn Chrome DevTools for debugging API calls.