REST and GraphQL are both solid API choices — but picking the wrong one adds unnecessary complexity. Here's a straight-to-the-point breakdown to help you decide.
If you've started planning a new project that involves a frontend and a backend communicating over the web, you've probably hit this question: should we use REST or GraphQL? Both are solid choices. The right answer depends on your project's shape.
What is REST?
REST (Representational State Transfer) is the most widely used API design pattern. It maps resources to URLs — /api/users/, /api/orders/1/ — and uses HTTP methods (GET, POST, PUT, DELETE) to perform actions. It's simple, well-understood, and supported by every language and framework.
What is GraphQL?
GraphQL is a query language for your API. Instead of hitting multiple endpoints, the client sends a single query describing exactly what data it needs, and the server returns precisely that — nothing more, nothing less. Facebook developed it to solve the over-fetching problem they hit at scale.
When REST wins
Choose REST when your data model is straightforward, your team is small, or you need to move fast. It's easier to cache, easier to debug, and has a massive ecosystem. Most projects — especially early-stage products — don't need GraphQL's complexity.
When GraphQL wins
Choose GraphQL when your frontend needs are highly dynamic — for example, a mobile app and a web app consuming the same API but needing different data shapes. It's also valuable when you have deeply nested relational data and want to avoid multiple round trips.
The honest answer
For most startups and mid-size products, REST is the right call. GraphQL shines at scale, with large teams and complex data graphs. Don't adopt it because it's trendy — adopt it because your problem actually requires it.
At Nexa Sparks we default to REST with Django REST Framework for most client projects, and introduce GraphQL only when the data requirements genuinely call for it.