REST vs GraphQL: Which API Style to Choose
Basics4 minInnovialabs editorial team
In short
REST is simpler, caches better and fits most public and CRUD APIs; GraphQL wins with many different clients and complex screens with nested data, but demands more discipline on the server.
The short answer
- REST is the default choice: simple, familiar to any team, and it works well with HTTP caching, CDNs and standard monitoring.
- GraphQL is the choice when you have several clients (web, mobile apps, partners) with different needs and screens that pull data from many entities.
Neither is "better" overall. The nature of your data, your clients and your team's experience decide.
How they work
REST is built around resources. Each resource has its own URL, and the HTTP method sets the action: GET /orders/10, POST /orders, DELETE /orders/10. The server defines the response shape.
GraphQL uses one endpoint and a typed schema. The client sends a query listing the fields it needs and gets exactly those. The client defines the response shape.
Side-by-side comparison
| Criterion | REST | GraphQL |
|---|---|---|
| Over-fetching | Common issue | Client takes only the fields it needs |
| Under-fetching | Several requests per screen | One request for nested data |
| HTTP caching | Works out of the box (GET, ETag, CDN) | Harder, needs client cache or persisted queries |
| Contract | Optional, via OpenAPI | Schema is mandatory |
| Learning curve | Low | Higher: schema, resolvers, query cost protection |
| File uploads | Simple | Needs extensions or a separate endpoint |
| Monitoring and errors | HTTP status codes | Often 200 with an errors field |
| API evolution | Versions like /v1, /v2 | Add fields, mark old ones with @deprecated |
Over-fetching and under-fetching
In REST, /users/1 may return thirty fields when the screen needs two. And a "user + orders + products" card needs three sequential requests. On a slow mobile network that is noticeable.
REST solves this with screen-specific endpoints (the BFF pattern — Backend for Frontend) or parameters like ?fields= and ?include=. It works but needs maintenance.
In GraphQL the client describes the response shape itself, so the problem is handled at the protocol level.
Caching
REST maps naturally onto HTTP: a GET response can be cached in the browser, on a CDN or in a reverse proxy. For public content and heavy traffic that is a big advantage.
In GraphQL, queries usually go via POST to one URL, so standard HTTP caching barely helps. Caching moves to the client (a normalized cache in Apollo Client or urql) and the server (resolver caching, persisted queries over GET).
Performance and the N+1 problem
GraphQL's flexibility brings risks:
- N+1. Fetching a list of a hundred items with nested relations can trigger a hundred extra database calls. Batching (DataLoader) and careful resolvers fix it.
- Heavy queries. A client can request a deeply nested tree. You need depth and complexity limits plus timeouts.
- Harder profiling. One endpoint means metrics must be collected per operation, not per URL.
REST load is more predictable: each endpoint does a fixed amount of work and is easy to measure.
Tooling and team
- REST has a huge ecosystem: OpenAPI, Swagger UI, Postman, any HTTP client, SDK generators.
- GraphQL has strong developer tools: schema introspection, IDE autocomplete, type generation for the frontend.
- If your team has not used GraphQL, budget time to learn it: schema design, resolvers, client cache, security.
When to choose which
REST fits if:
- the API is public or for partners and must be understandable without training;
- the data is mostly CRUD over clear resources;
- HTTP caching and CDNs matter;
- the team is small or there is a single client.
GraphQL fits if:
- several clients need different data sets;
- screens combine data from many related entities;
- the frontend team wants to move faster without waiting for new endpoints;
- you need one layer on top of several services.
You can combine them. A common setup: internal services talk over REST or gRPC, and a GraphQL gateway sits on top for clients.