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/commentsGraphQL 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 responseNotice 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
| Feature | GraphQL | REST |
|---|---|---|
| Endpoints | Single endpoint (/graphql) | Multiple endpoints per resource |
| Data Fetching | Get exactly what you ask for | Get fixed data structure |
| Over-fetching | Never happens | Common issue |
| Under-fetching | Never happens | Often requires multiple requests |
| Learning Curve | Steeper | Easier |
| Caching | More complex (requires libraries) | Built-in HTTP caching |
| Error Handling | Partial errors possible | Standard HTTP status codes |
| Versioning | No versioning needed | Often requires /v1, /v2 |
| Type System | Strongly typed schema | No built-in typing |
| Documentation | Self-documenting | Requires 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
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.
Payload Size
GraphQL eliminates over-fetching, reducing payload size by 30-50% on average.
Caching Trade-offs
REST has better built-in caching with HTTP, but GraphQL offers more precise caching with tools like Apollo Client.
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
GraphQL Tools
Continue Learning
External Resources & References
GraphQL Resources
- •GraphQL.org - Official GraphQL specification
- •Apollo GraphQL Documentation - Most popular GraphQL implementation
- •GraphQL Specification - Official spec on GitHub
REST API Resources
- •REST API Tutorial - Comprehensive REST guide
- •MDN HTTP Methods - HTTP method reference
- •What is JSON? - Understanding JSON for REST APIs
Learning Resources
- •What is GraphQL? - Beginner's guide to GraphQL
- •GraphQL Tutorial - Step-by-step GraphQL learning