The GraphQL versus REST argument has produced a lot of tribal noise and very little useful guidance. Both are mature, both are production-proven, and the right choice depends on your client needs, data shape, and team, not on which one is fashionable. Having shipped both, our view is that they solve overlapping problems with different trade-offs, and many systems are best served by using each where it fits.
What REST does well
REST is simple, universally understood, and plays perfectly with the HTTP ecosystem. Caching at the CDN and browser level works out of the box because resources map to URLs. Tooling, debugging, and onboarding are trivial because everyone already knows how it works. For a public API, a CRUD-shaped domain, or a service with well-defined resources, REST is often the lower-friction and more operable choice.
What GraphQL does well
GraphQL shines when clients need flexible, precise access to a connected graph of data. A mobile app that wants exactly three fields and a web dashboard that wants twenty can each ask for precisely what they need from the same endpoint, avoiding the over-fetching and under-fetching that plague rigid REST endpoints. A strongly typed schema also gives you excellent tooling and a self-documenting contract between frontend and backend.
The problems each creates
REST's weakness is round trips and payload fit: complex screens end up making many calls or receiving bloated responses, and teams sprout ad-hoc custom endpoints to compensate. GraphQL's weaknesses are the flip side of its power. HTTP caching no longer works automatically. A single malicious or careless query can be expensive, so you need depth limiting, cost analysis, and rate controls. And the infamous N+1 query problem will wreck your database performance unless you batch loads deliberately.
Security cuts both ways
Whichever you choose, the fundamentals from our API security checklist still apply: authentication, authorisation on every field or resource, input validation, and rate limiting. GraphQL adds a few specific concerns around query cost and introspection exposure, while REST's flatter surface is easier to reason about. Neither is secure by default.
A decision framework
Prefer REST when you are building a public API, your domain is resource-shaped, or you want the simplest operable system. Prefer GraphQL when you have many diverse clients, deeply connected data, and a frontend that benefits from asking for exactly what it needs. And remember the choice is not exclusive: a REST core with a GraphQL layer for complex client-facing reads is a perfectly reasonable architecture.
The data model matters more than the protocol
Step back from the protocol argument and a larger truth appears: most of the difficulty teams blame on REST or GraphQL actually comes from an unclear underlying data model. A well-designed domain with clean boundaries is pleasant to expose through either style, while a tangled model is awkward through both, sprouting special-case endpoints in REST or convoluted resolvers in GraphQL. Before agonising over the API style, it is usually more valuable to get the entities, their relationships, and their access patterns right. Once that foundation is solid, the choice between REST and GraphQL becomes the relatively minor, reversible decision it should be, driven by client needs rather than by hope that the protocol will paper over a confused design. Fix the model first, and the API layer tends to fall into place whichever style you pick.
The honest bottom line
Most teams overestimate how much the API style matters compared to getting the data model and boundaries right. Choose the one your team can build and operate well, apply the security basics, and move on to the product. If you want help making that call for a specific application, our web application engineering team makes it every week.