GraphQL vs REST: The Complete Comparison

Understanding the differences and choosing the right API approach for your project

Published: January 2025 • 12 min read

GraphQL and REST (Representational State Transfer) are two popular approaches for building APIs. While REST has been the industry standard for over a decade, GraphQL has gained massive popularity for solving specific problems that REST struggles with.

This comprehensive guide compares GraphQL and REST across multiple dimensions to help you make the right choice for your project. Try our GraphQL formatter and schema validator to work with GraphQL queries, or use our JSON formatter and JSON validator for REST responses. You can also convert GraphQL to JSON or generate GraphQL from JSON.

Quick Overview

GraphQL

  • Single endpoint for all data
  • Client specifies exact data needed
  • No over-fetching or under-fetching
  • Strongly typed schema
  • Perfect for complex data requirements

REST

  • Multiple endpoints for resources
  • Server determines response structure
  • May over-fetch or under-fetch data
  • Simple and well-understood
  • Great for simple CRUD operations

How They Work

The fundamental difference is in how clients request data. Here's the same scenario with both approaches:

REST API Example

Multiple requests to different endpoints:

// Request 1: Get user
GET /api/users/123

Response:
{
  "id": 123,
  "name": "John Doe",
  "email": "[email protected]",
  "bio": "...",
  "avatar": "...",
  // ... many other fields you might not need
}

// Request 2: Get user's posts
GET /api/users/123/posts

// Request 3: Get comments for each post
GET /api/posts/1/comments
GET /api/posts/2/comments

GraphQL Example

Single request with exact data requirements:

// Single request to /graphql
POST /graphql

Query:
{
  user(id: 123) {
    name
    email
    posts(limit: 5) {
      title
      comments(limit: 3) {
        author
        text
      }
    }
  }
}

// Get exactly what you asked for in one response

Notice how GraphQL lets you get exactly the data you need in a single request, while REST requires multiple round trips. Use our GraphQL minifier to compress queries for production use.

Feature Comparison

FeatureGraphQLREST
EndpointsSingle endpoint (/graphql)Multiple endpoints per resource
Data FetchingGet exactly what you ask forGet fixed data structure
Over-fetchingNever happensCommon issue
Under-fetchingNever happensOften requires multiple requests
Learning CurveSteeperEasier
CachingMore complex (requires libraries)Built-in HTTP caching
Error HandlingPartial errors possibleStandard HTTP status codes
VersioningNo versioning neededOften requires /v1, /v2
Type SystemStrongly typed schemaNo built-in typing
DocumentationSelf-documentingRequires separate docs

When to Use Each Approach

Choose GraphQL When:

  • Mobile apps with limited bandwidth - Fetch only needed data
  • Complex data requirements - Nested relationships and multiple resources
  • Rapid frontend development - Frontend teams can work independently
  • Multiple clients with different needs - Web, mobile, IoT
  • Microservices aggregation - Unite multiple services behind one API

Choose REST When:

  • Simple CRUD operations - Straightforward resource management
  • Caching is critical - Leverage HTTP caching mechanisms
  • Team familiarity - Your team knows REST very well
  • File uploads/downloads - REST handles file operations better
  • Simple public APIs - Easy for third parties to understand

Real-World Example: Social Media Feed

Let's see how both approaches handle a common scenario: loading a social media feed with posts, authors, and comments.

REST Approach

Request 1: GET /api/feed → Get post IDs
Request 2: GET /api/posts/1,2,3 → Get post details
Request 3: GET /api/users/10,11,12 → Get author info
Request 4: GET /api/posts/1/comments → Get comments

Result: 4+ requests, lots of unnecessary data, slower load time

GraphQL Approach

query GetFeed {
  feed {
    posts {
      title
      content
      author {
        name
        avatar
      }
      comments(limit: 3) {
        text
        author { name }
      }
    }
  }
}

Result: 1 request, exactly the data you need, faster load time

Performance Considerations

Network Efficiency

GraphQL typically reduces network requests by 60-90% compared to REST for complex data requirements.

Example: Loading a user profile with posts and comments: REST = 10+ requests, GraphQL = 1 request

Payload Size

GraphQL eliminates over-fetching, reducing payload size by 30-50% on average.

Impact: Critical for mobile users on slow connections

Caching Trade-offs

REST has better built-in caching with HTTP, but GraphQL offers more precise caching with tools like Apollo Client.

Consideration: GraphQL caching requires more setup but offers finer control

Migrating from REST to GraphQL

You don't have to choose one or the other! Many companies run both side-by-side:

  • 1.Start small - Add GraphQL alongside REST, don't replace everything at once
  • 2.Use for new features - Build new features with GraphQL while keeping REST endpoints
  • 3.Wrap existing REST APIs - Create GraphQL layer on top of REST services
  • 4.Migrate high-value endpoints - Convert endpoints that benefit most from GraphQL's advantages

GraphQL & REST API Tools

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External Resources & References

GraphQL Resources

REST API Resources

Learning Resources