The short answer
REST is the dependable default: simple, well understood, and a great fit for the majority of APIs. GraphQL shines when clients need flexible, precisely-shaped data and you'd otherwise drown in endpoints or over-fetching. Neither is "better" in the abstract — the right choice depends on who consumes your API and how.
Below we'll explain how each works, compare them head to head, and give you a clear set of signals for choosing.
What is REST?
REST (Representational State Transfer) models your data as resources, each with its own URL. You interact with them using standard HTTP methods: GET to read, POST to create, PUT/PATCH to update, and DELETEto remove. It's the architecture most of the web's APIs are built on, and almost every developer already understands it.
Its biggest strengths are simplicity and HTTP-native caching. Its main weakness is rigidity: each endpoint returns a fixed shape, so clients often fetch more data than they need, or have to make several requests to assemble one screen.
What is GraphQL?
GraphQL is a query language for your API. Instead of many endpoints, you expose a single endpoint and a typed schema that describes everything available. Clients then ask for exactly the fields they want — no more, no less — and can fetch related data in a single request.
This solves over-fetching and under-fetching elegantly and gives front-end teams a lot of freedom. The cost is added complexity: caching is harder, and you need to think carefully about query depth, rate limiting, and performance so a single expensive query can't overload your servers.
Head-to-head comparison
| Aspect | REST | GraphQL |
|---|---|---|
| Data fetching | Fixed responses per endpoint; may over- or under-fetch | Clients request exactly the fields they need |
| Number of requests | Often several round-trips for related data | A single query can fetch related data at once |
| Learning curve | Familiar, simple, widely understood | Steeper; schema, resolvers, and tooling to learn |
| Caching | Easy with standard HTTP caching | Harder; usually needs client-side or custom caching |
| Versioning | Typically versioned (/v1, /v2) | Evolved via schema, fields deprecated over time |
| File uploads & binaries | Native and straightforward | Possible but needs extra conventions |
| Tooling & ecosystem | Mature, universal, OpenAPI/Swagger | Excellent introspection and typed clients |