REST vs GraphQL â€” Which API Style Is Right?

REST API vs GraphQL

REST and GraphQL are two dominant API design styles. REST is a well-established architectural style using HTTP methods and multiple endpoints. GraphQL is a query language from Meta that uses a single endpoint and lets clients request exactly the data they need. Both are production-proven â€” the right choice depends on your use case.

15 views · Apr 2026

REST

What is REST?

REST (Representational State Transfer) is an architectural style for designing APIs over HTTP using standard methods and resource-based URLs.

Key Concepts

Resources â€” each URL represents a resource: /users/1, /orders/42/items
HTTP Verbs â€” GET (read), POST (create), PUT/PATCH (update), DELETE (remove)
Status codes â€” 200 OK, 201 Created, 404 Not Found, etc.
Stateless â€” each request is independent

Example

GET    /api/users           â†’ list users
GET    /api/users/1         â†’ get user 1
POST   /api/users           â†’ create user
PUT    /api/users/1         â†’ replace user 1
PATCH  /api/users/1         â†’ partial update
DELETE /api/users/1         â†’ delete user 1

Pros

Simple and well-understood â€” every developer knows REST
Excellent HTTP caching (GET is cacheable by default)
Easy to test with curl, browser, Postman
Great tooling (Swagger/OpenAPI)
Stateless â€” easy to scale horizontally

Cons

Over-fetching â€” endpoints return fixed shapes, client gets fields it does not need
Under-fetching â€” multiple requests needed to get related data (N+1 problem)
Versioning (/v1, /v2) can get messy
No standard for complex querying / filtering

GraphQL

What is GraphQL?

GraphQL is a query language and runtime for APIs. Clients describe exactly what data they want in a single request to a single endpoint.

Key Concepts

Single endpoint â€” typically POST /graphql
Schema â€” strongly typed contract between client and server
Queries â€” read data
Mutations â€” write data
Subscriptions â€” real-time data over WebSocket

Example

query {
  user(id: 1) {
    name
    email
    orders(last: 5) {
      id
      total
      items { name price }
    }
  }
}
# Returns EXACTLY these fields â€” nothing more

Pros

No over-fetching or under-fetching â€” client requests exactly what it needs
Single request for nested/related data
Strongly typed schema = self-documenting API
Excellent for mobile clients (save bandwidth)
Built-in introspection â€” query the API about itself

Cons

HTTP caching is harder (all POST to one endpoint)
More complex to set up (schema, resolvers, data loaders)
File uploads are awkward
N+1 query problem requires DataLoader pattern
Over-engineered for simple CRUD APIs

🏆 Verdict — Which Should You Choose?

Side-by-Side

Aspect	REST	GraphQL
Endpoint	Multiple (/users, /orders)	Single (/graphql)
HTTP method	GET, POST, PUT, DELETE	POST (usually)
Over-fetching	Yes	No
Under-fetching	Yes (multiple requests)	No (one request)
Caching	Easy (HTTP native)	Harder (need CDN-level or persisted queries)
Type system	Optional (via OpenAPI)	Built-in (Schema)
Learning curve	Low	Medium
Real-time	Polling / SSE	Subscriptions (native)
File uploads	Easy (multipart)	Awkward
Best for	Simple CRUD, public APIs	Complex data needs, mobile, BFF

Choose REST ifâ€¦

Building a simple CRUD API or public API
HTTP caching is important (CDN, browser cache)
Your team is not familiar with GraphQL
You need easy file upload

Choose GraphQL ifâ€¦

Building a mobile app where bandwidth matters
Frontend needs vary â€” different clients need different data shapes
Aggregating multiple data sources (BFF pattern)
You need real-time subscriptions