REST vs GraphQL: How to Choose an API Style
Should you use REST or GraphQL?
For most new products, start with REST. It is well understood, easy to hire for, and works with ordinary web tooling such as caching and monitoring. Choose GraphQL when you have several different clients, such as a web app, mobile apps and partner integrations, that each need different shapes of the same data, and your team is ready to run the extra machinery it brings.
Neither style is better in general. They make different things easy.
What is the difference in plain terms?
A REST API exposes resources at addresses. You ask for an order at one address and its customer at another. The server decides what each response contains.
A GraphQL API exposes one address and a typed description of your data. The client sends a query that names exactly the fields it wants, across related records, and gets back that shape in one response.
| Question | REST | GraphQL |
|---|---|---|
| Who decides the response shape? | The server | The client |
| Requests to load a screen | Often several | Often one |
| Caching | Works with standard web caching | Needs extra design |
| Learning curve | Low | Moderate |
| Tooling and hiring | Very common | Common, narrower |
| Risk of expensive queries | Lower, each endpoint is fixed | Higher, clients can ask for a lot |
When does REST fit best?
- You have one main client, or clients with similar needs.
- Your data is simple and maps well to a set of resources.
- You want to use standard web caching and gateways with little extra work.
- Your team is small and you want fewer moving parts.
- You expose a public API for outside developers who expect a familiar style.
When does GraphQL fit best?
- Several clients need different fields from the same data, and building a separate endpoint for each is becoming a burden.
- Screens load many related records, and the number of round trips is hurting speed, particularly on slow mobile connections.
- Frontend and backend teams work at different speeds, and the frontend keeps waiting for new endpoints.
What does GraphQL cost you?
GraphQL moves some complexity to the server. Plan for it before you commit.
- Query limits. A client can ask for deeply nested data. You need depth and cost limits so one query cannot overload the system.
- Access control. Permissions must be checked for every field, not only for every endpoint.
- Caching. Responses are less cacheable by default, so you need a deliberate caching approach.
- Performance. Resolving related records naively can cause many database calls. Teams use batching to avoid this.
- Monitoring. Everything arrives at one address, so you need tooling that understands queries to see what is slow.
Can you use both?
Yes. Many products keep REST for simple, stable operations and public integrations, and add GraphQL for a complex client-facing layer. Mixing styles is a reasonable choice if each has a clear job. It becomes a problem when nobody can say which one to use for a new feature.
How should you decide?
Write down the clients you have now and in the next year, and the screens that are slow or awkward to build. If the answer is one or two clients and simple screens, use REST. If the answer is many clients with different needs and a real pain from over-fetching or multiple requests, run a small trial of GraphQL on one screen and measure it before adopting it everywhere.
Whichever you pick, document the API and version changes carefully. Our guide to documentation best practices shows what to record. The choice also depends on your server stack, covered in Node.js, Django and Spring Boot compared, and on how you split your system, covered in microservices vs monolithic architecture.
*Designing an API for a new product? We can help you choose and build it. Start a conversation →*