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GraphQLRESTAPIArchitecture

GraphQL vs REST: Choosing the Right API Architecture

A comprehensive comparison of GraphQL and REST APIs. Learn when to use each approach and how to make the right choice for your project.

B
Bootspring Team
Engineering
February 26, 2026
5 min read

The debate between GraphQL and REST continues to evolve. This guide provides a practical comparison to help you choose the right approach for your specific needs.

Understanding the Fundamentals#

REST Architecture#

REST (Representational State Transfer) uses standard HTTP methods to operate on resources:

1// REST endpoints 2GET /api/users // List users 3GET /api/users/123 // Get single user 4POST /api/users // Create user 5PUT /api/users/123 // Update user 6DELETE /api/users/123 // Delete user 7 8// Fetching user with posts requires multiple requests 9const user = await fetch('/api/users/123'); 10const posts = await fetch('/api/users/123/posts'); 11const comments = await fetch('/api/posts/456/comments');

GraphQL Architecture#

GraphQL provides a single endpoint with a query language:

1# Single request gets exactly what you need 2query { 3 user(id: "123") { 4 name 5 email 6 posts { 7 title 8 comments { 9 text 10 author { 11 name 12 } 13 } 14 } 15 } 16}

Key Differences#

Data Fetching#

REST: Multiple round trips for related data

1// N+1 problem in REST 2async function getUsersWithPosts() { 3 const users = await fetch('/api/users').then(r => r.json()); 4 5 // Requires N additional requests 6 const usersWithPosts = await Promise.all( 7 users.map(async user => ({ 8 ...user, 9 posts: await fetch(`/api/users/${user.id}/posts`).then(r => r.json()) 10 })) 11 ); 12 13 return usersWithPosts; 14}

GraphQL: Single request with exact data

1const query = ` 2 query { 3 users { 4 id 5 name 6 posts { 7 title 8 createdAt 9 } 10 } 11 } 12`; 13 14const { data } = await fetch('/graphql', { 15 method: 'POST', 16 headers: { 'Content-Type': 'application/json' }, 17 body: JSON.stringify({ query }) 18}).then(r => r.json());

Over-fetching and Under-fetching#

REST: Fixed response structures

1// GET /api/users/123 returns everything 2{ 3 "id": 123, 4 "name": "John", 5 "email": "john@example.com", 6 "address": "...", 7 "phone": "...", 8 "createdAt": "...", 9 "updatedAt": "...", 10 "preferences": {...} 11} 12// Client only needed name and email

GraphQL: Request exactly what you need

1query { 2 user(id: "123") { 3 name 4 email 5 } 6}

When to Choose REST#

REST excels in these scenarios:

Simple CRUD Operations#

1// REST is straightforward for simple APIs 2app.get('/api/products', async (req, res) => { 3 const products = await Product.findAll(); 4 res.json(products); 5}); 6 7app.post('/api/products', async (req, res) => { 8 const product = await Product.create(req.body); 9 res.status(201).json(product); 10});

Caching Requirements#

REST leverages HTTP caching naturally:

1// Easy cache headers with REST 2app.get('/api/products/:id', async (req, res) => { 3 res.set('Cache-Control', 'public, max-age=3600'); 4 res.set('ETag', product.version); 5 res.json(product); 6});

File Uploads and Downloads#

// REST handles binary data elegantly app.post('/api/upload', upload.single('file'), (req, res) => { res.json({ url: req.file.path }); });

Public APIs#

REST's simplicity makes it ideal for third-party developers:

# Easy to understand and test curl https://api.example.com/v1/users

When to Choose GraphQL#

GraphQL shines in these situations:

Complex Data Requirements#

1# Dashboard data in a single request 2query DashboardData { 3 currentUser { 4 name 5 notifications(unread: true) { 6 count 7 } 8 } 9 recentOrders(limit: 5) { 10 id 11 total 12 status 13 } 14 analytics { 15 dailyVisitors 16 conversionRate 17 } 18}

Mobile Applications#

Bandwidth efficiency matters on mobile:

1# Mobile gets minimal data 2query MobileUser { 3 user(id: $id) { 4 name 5 avatar 6 } 7} 8 9# Desktop gets full profile 10query DesktopUser { 11 user(id: $id) { 12 name 13 avatar 14 bio 15 socialLinks 16 recentActivity 17 } 18}

Rapid Frontend Development#

Frontend teams can iterate without backend changes:

1# Add new field without backend deployment 2query { 3 product(id: $id) { 4 name 5 price 6 # Just added by frontend team 7 relatedProducts { 8 name 9 price 10 } 11 } 12}

Multiple Client Types#

1// Single GraphQL schema serves all clients 2const typeDefs = gql` 3 type Product { 4 id: ID! 5 name: String! 6 description: String! 7 price: Float! 8 inventory: Int! @auth(requires: ADMIN) 9 analytics: Analytics @auth(requires: MANAGER) 10 } 11`;

Implementation Patterns#

GraphQL Server Setup#

1import { ApolloServer } from '@apollo/server'; 2import { startStandaloneServer } from '@apollo/server/standalone'; 3 4const typeDefs = ` 5 type User { 6 id: ID! 7 name: String! 8 posts: [Post!]! 9 } 10 11 type Post { 12 id: ID! 13 title: String! 14 author: User! 15 } 16 17 type Query { 18 users: [User!]! 19 user(id: ID!): User 20 } 21`; 22 23const resolvers = { 24 Query: { 25 users: () => db.users.findAll(), 26 user: (_, { id }) => db.users.findById(id), 27 }, 28 User: { 29 posts: (user) => db.posts.findByAuthor(user.id), 30 }, 31}; 32 33const server = new ApolloServer({ typeDefs, resolvers }); 34const { url } = await startStandaloneServer(server, { listen: { port: 4000 } });

REST with OpenAPI#

1openapi: 3.0.0 2info: 3 title: User API 4 version: 1.0.0 5paths: 6 /users: 7 get: 8 summary: List users 9 responses: 10 '200': 11 description: Successful response 12 content: 13 application/json: 14 schema: 15 type: array 16 items: 17 $ref: '#/components/schemas/User'

Performance Considerations#

GraphQL Challenges#

1// Prevent expensive queries 2const depthLimit = require('graphql-depth-limit'); 3const costAnalysis = require('graphql-cost-analysis'); 4 5const server = new ApolloServer({ 6 typeDefs, 7 resolvers, 8 validationRules: [ 9 depthLimit(10), 10 costAnalysis({ maximumCost: 1000 }) 11 ], 12});

REST Optimization#

1// Use sparse fieldsets 2// GET /api/users?fields=id,name,email 3 4app.get('/api/users', (req, res) => { 5 const fields = req.query.fields?.split(','); 6 const users = await User.findAll({ 7 attributes: fields || undefined 8 }); 9 res.json(users); 10});

Hybrid Approaches#

Many teams use both:

// REST for simple CRUD app.use('/api', restRouter); // GraphQL for complex queries app.use('/graphql', graphqlMiddleware);

Decision Matrix#

FactorRESTGraphQL
Learning curveLowerHigher
CachingNative HTTPCustom
File handlingSimpleComplex
Mobile efficiencyModerateExcellent
Tooling maturityExcellentGood
Query flexibilityLimitedExcellent
Security surfaceSmallerLarger

Conclusion#

Choose REST when you need simplicity, standard HTTP caching, or are building a public API. Choose GraphQL when you have complex data requirements, multiple clients, or need maximum flexibility. Many successful applications use both—there's no one-size-fits-all answer.

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