GraphQL vs REST: what is the difference?
Length:
4 min
Published:
June 9, 2026
GraphQL vs REST in one paragraph
REST and GraphQL are two styles for building an API, the layer through which apps request data from a server. With REST, the server exposes fixed addresses (endpoints) like /users/42 or /users/42/orders, and each one returns a set shape of data. With GraphQL, there is usually a single endpoint, and the client sends a query describing exactly which fields it wants, getting back precisely that and nothing more.
The core difference is who decides the shape of the response. In REST, the server decides; the client takes what each endpoint gives. In GraphQL, the client decides; it asks for the exact fields it needs in one request.
In plain words
Think of ordering food. REST is a set menu: each dish (endpoint) comes plated a fixed way, and if you want a bit from two dishes you order both and leave the rest. GraphQL is a build-your-own bowl: you point at exactly the ingredients you want and get a single bowl with nothing extra. The set menu is simple and predictable; the custom bowl avoids waste but needs a more capable kitchen.
How they differ in practice
- Fetching data. REST often needs several requests to assemble one screen, or returns more fields than you use. GraphQL gets exactly what a screen needs in one request.
- Versioning. REST APIs often version with
/v1,/v2. GraphQL tends to evolve the schema by adding fields and deprecating old ones, without new versions. - Caching. REST rides on standard HTTP caching, which is mature and simple. GraphQL usually needs caching handled in the client or a dedicated layer.
- Learning curve. REST is familiar and easy to start with. GraphQL adds a schema and query language your team has to learn and operate.
When to use which
- Reach for REST when the data is fairly simple, you want easy HTTP caching, or you are exposing a public API many clients will consume in predictable ways.
- Reach for GraphQL when many different clients (web, mobile, partners) each need different slices of complex, related data, and over-fetching or chains of requests are slowing you down.
Common pitfalls
- Treating it as a religious choice. Plenty of companies run both, REST for simple public endpoints, GraphQL where clients need flexibility. Pick per use case, not per ideology.
- Underestimating GraphQL's server cost. A single flexible query can hide an expensive database load. Without limits, one client query can hammer your backend.
- Chatty REST. A REST API that forces clients into ten requests per screen is its own problem. Design endpoints around what clients actually need.
Related articles:
- What is a REST API? - The fixed-endpoint style explained from scratch.
- What is GraphQL? - The query-language approach in more detail.
- What is an API? - The basic idea both styles build on.
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