REST vs GraphQL
Resource-oriented and simple vs flexible and precise — understanding the real trade-offs before you commit to an API style.
For a broader look at API integration patterns, see the API and Webhook Integration Basics guide.
- •You need HTTP caching (CDN, browser) with minimal configuration
- •Your data model is simple and resource-oriented
- •You're building a public API consumed by third parties
- •Your team is small and you want minimal tooling overhead
- •Multiple clients (web, mobile, partner) need different data shapes
- •Over-fetching or under-fetching is a measurable performance problem
- •You need a strongly typed contract and auto-generated docs
- •Your data has deeply nested or graph-like relationships
Many platforms use both: REST for webhooks and public integrations, GraphQL for internal product APIs.
Core Comparison
| Aspect | REST | GraphQL |
|---|---|---|
| Flexibility | Fixed endpoints return fixed shapes | Client specifies exactly which fields it needs |
| Performance | May require multiple round-trips (N+1 problem) | Single request fetches all needed data; N+1 needs resolver care |
| Over-fetching | Common — endpoints return full resource regardless of need | Eliminated by design — queries select only requested fields |
| Complexity | Low — uses standard HTTP verbs and status codes | Higher — schema, resolvers, query language, tooling required |
| Caching | Native HTTP caching (CDN, browser cache) via GET + URL | POST-based by default; requires persisted queries or CDN config |
| Learning curve | Low — widely understood, no special client needed | Moderate — clients need a GraphQL library; schema exploration required |
| Best use cases | Public APIs, webhooks, microservices, CRUD operations | Product APIs with multiple clients, dashboards, mobile apps |
What REST Is
REST (Representational State Transfer) is an architectural style for building APIs using standard HTTP. Resources are identified by URLs, and operations are expressed with HTTP verbs: GET to read, POST to create, PUT/PATCH to update, DELETE to remove. Responses are typically JSON.
The key strengths of REST are its simplicity and alignment with the web platform. Because GET requests are cacheable by default, REST APIs can be served behind a CDN with no additional configuration. Every HTTP client — curl, browsers, mobile apps, server-to-server integrations — understands REST without a special library.
Typical REST request
GET /users/42/orders?status=pending
Authorization: Bearer <token>
→ 200 OK
{
"orders": [
{ "id": 1, "status": "pending", "total": 99.99, "items": [...] }
]
}What GraphQL Is
GraphQL is a query language for APIs developed by Meta. Instead of many resource endpoints, a GraphQL API exposes a single endpoint. The client sends a query that describes exactly which fields it needs, and the server returns only those fields. The schema acts as a contract — every type, field, and relationship is explicitly defined and introspectable.
GraphQL was built to solve over-fetching (getting more data than you need) and under-fetching (needing multiple requests to get all your data). It is particularly powerful in product contexts where multiple client types — web dashboard, mobile app, partner integration — all need different data shapes from the same backend.
Typical GraphQL query
POST /graphql
{
user(id: "42") {
name
orders(status: PENDING) {
id
total
}
}
}
→ 200 OK
{ "data": { "user": { "name": "Jane", "orders": [...] } } }When REST Is the Better Choice
Public and partner APIs
REST is the de-facto standard for public APIs. Third-party developers can integrate with curl and any HTTP library without learning GraphQL syntax or setting up a client.
CDN-cacheable responses
Read-heavy APIs (product listings, documentation, pricing) benefit enormously from HTTP caching. REST GET requests are cached natively. GraphQL POST requests require additional infrastructure.
Simple CRUD resources
When your data model is flat and resource-oriented (users, orders, products), REST endpoints map directly to business entities without a schema layer.
Webhooks and event callbacks
Webhooks are always REST — a POST to a registered URL. If your integration is event-driven, REST is the natural fit.
Small teams and simple backends
REST requires no special tooling. You can build, document, and test a REST API with standard HTTP tools. GraphQL adds a schema definition, resolver layer, and client-side query management.
File uploads and binary data
REST handles multipart/form-data uploads natively. GraphQL file upload support requires non-standard extensions and is inconsistent across implementations.
When GraphQL Is the Better Choice
Multiple client types
A web dashboard needs full order details; a mobile app needs only summary fields. GraphQL lets each client request exactly what it needs from the same API without versioning or new endpoints.
Reducing round trips
Loading a user profile with their recent orders, open tickets, and payment methods in one request eliminates the N+1 problem that plagues REST. One query, one response.
Rapid product iteration
Adding a field to the schema doesn't break existing clients. Deprecating fields is gradual and visible via introspection. REST versioning (v1, v2) is avoided entirely.
Deeply relational data
E-commerce graphs (products → variants → inventory → suppliers) are natural in GraphQL. In REST, traversing multiple relationships requires multiple endpoints and careful orchestration.
Common Mistakes
✗ Choosing GraphQL for a simple CRUD API
GraphQL adds a schema, resolvers, client library, and query management layer. For a straightforward CRUD API, REST is faster to build, easier to test, and simpler to maintain.
✗ Using REST when clients over-fetch consistently
If your mobile app is downloading 50 fields to show 5, or making 4 sequential requests to render one screen, GraphQL's request precision pays for itself. Ignore the traffic and performance data at your peril.
✗ Ignoring the N+1 problem in GraphQL
Without DataLoader (or equivalent batching), GraphQL resolvers make one database query per list item. A query for 100 users with their orders fires 101 queries. Always implement batching in resolvers that access related data.
✗ Trying to version a GraphQL API like REST
GraphQL APIs should evolve by deprecating fields, not by introducing /v2. Versioning a GraphQL API defeats its purpose. Use schema deprecation, provide migration guides, and remove deprecated fields after a grace period.
✗ Not rate-limiting or depth-limiting GraphQL queries
A single deeply nested GraphQL query can be exponentially expensive. Without query depth limits, complexity analysis, and rate limiting, a GraphQL API is vulnerable to resource exhaustion attacks.