REST vs GraphQL: Which API Style Should You Choose?
REST and GraphQL both solve the same basic problem - letting a client ask a server for data over HTTP - but they solve it with different tradeoffs, and the choice between them tends to get treated as more ideological than it needs to be. Neither one is simply better. Each fits certain shapes of product and team better than the other.
How REST works, and where it holds up
REST organizes an API around resources - a URL for a user, a URL for an order, a URL for a list of products - and standard HTTP methods (GET, POST, PUT, DELETE) to act on them. It's been the default approach for web APIs for long enough that tooling, caching behavior, and team familiarity are all mature. Every HTTP cache, CDN, and browser already understands how to cache a GET request by URL, which is a real, practical advantage REST gets for free.
Where REST gets awkward is when a client needs data that spans several resources. A mobile app screen that needs a user's profile, their last five orders, and each order's line items might need three or four separate REST calls, or a special combined endpoint built just for that screen - which then needs maintaining alongside every other screen-specific endpoint as the product grows.
How GraphQL works, and where it holds up
GraphQL flips the model: instead of the server deciding what shape of data each endpoint returns, the client sends a query describing exactly the fields it needs, potentially across multiple related resources, and gets back exactly that - no more, no less. That single-request flexibility is the headline feature, and it's genuinely valuable for products with many different client screens or apps (web, iOS, Android) each needing a slightly different slice of the same underlying data, since one flexible schema can serve all of them without a proliferation of custom endpoints.
The tradeoffs are real too. Caching is harder, because a GraphQL API is usually a single POST endpoint rather than many cacheable GET URLs, so you need purpose-built caching (persisted queries, client-side normalized caches like Apollo or Relay) instead of relying on standard HTTP caching. Query complexity needs active management on the server side, since a client can technically ask for a deeply nested, expensive query that a naive REST endpoint would never have allowed in the first place. And the learning curve for a team new to it - schema design, resolvers, the client tooling - is steeper than REST's.
The practical decision
- Choose REST if you have a simpler data model, a small number of client types, want to lean on standard HTTP caching and tooling, or your team is already fluent in it and the product doesn't demand more.
- Choose GraphQL if you're serving several very different client apps off the same backend, your data model is genuinely relational and clients often need to traverse those relationships in one request, or over-fetching and under-fetching with REST has become an actual, recurring pain point rather than a hypothetical one.
- Neither is required to be an all-or-nothing choice for an entire system - plenty of real products run REST for simple CRUD services and GraphQL as an aggregation layer in front of them for client-facing queries, or the reverse.
What actually matters more than the API style
Whichever you pick, the things that determine whether the API is pleasant to build against long-term are the same regardless of style: clear, consistent naming, proper error handling instead of everything returning a 200, sensible pagination, and documentation that's actually kept up to date. A well-designed REST API beats a poorly designed GraphQL one every time, and vice versa - the format is a much smaller factor than the discipline behind it.
Picking the right API architecture for the actual shape of a product - not just the trendier option - is part of the software and web development work we do at Burncode on every backend we build, because the wrong choice here is expensive to unwind once a dozen clients depend on it.