The API Architecture Decision That Matters
When designing a new API, one of the earliest and most consequential choices is whether to go with REST or GraphQL. Both are mature, widely supported, and battle-tested in production — but they solve different problems and come with different trade-offs.
What is REST?
REST (Representational State Transfer) is an architectural style that uses standard HTTP methods (GET, POST, PUT, DELETE) to operate on resources identified by URLs. It's the default choice for most web APIs and is supported natively by every HTTP client in existence.
- Resources are defined by URLs (e.g.,
/users/42,/posts/7/comments) - Each endpoint returns a fixed shape of data
- Stateless by design — each request is self-contained
- HTTP caching works out of the box
What is GraphQL?
GraphQL is a query language for your API, developed by Meta and open-sourced in 2015. Instead of multiple endpoints, you expose a single endpoint that accepts structured queries. The client specifies exactly what data it needs, and the server returns precisely that — nothing more, nothing less.
- Single endpoint, typically
/graphql - Clients declare the exact shape of the data they want
- Strongly typed schema acts as a contract between client and server
- Eliminates over-fetching and under-fetching
Key Trade-offs Side by Side
| Consideration | REST | GraphQL |
|---|---|---|
| Learning curve | Low | Moderate |
| Caching | Simple (HTTP cache) | More complex (persisted queries) |
| Over/under-fetching | Common problem | Solved by design |
| Versioning | Explicit (v1, v2) | Schema evolution (deprecations) |
| Tooling maturity | Very mature | Mature and growing |
| Best for | Simple CRUD, public APIs | Complex data, multiple clients |
When REST Is the Right Call
Choose REST when you're building a public-facing API that third-party developers will consume, when your data model is relatively straightforward, or when you need maximum HTTP caching efficiency. REST's predictability and universal tooling support make it easier to document, monitor, and debug.
When GraphQL Shines
GraphQL becomes compelling when you have multiple clients with different data needs — for example, a mobile app that needs minimal data and a web dashboard that needs rich, nested data. It's also a strong choice when your data graph is highly relational and you find yourself building a proliferating collection of REST endpoints to handle edge cases.
The Hybrid Approach
Many production systems use both. REST for public APIs and simple integrations, GraphQL for internal APIs powering front-end applications. There's no rule that says you must pick one — the best architecture is the one that matches the actual shape of your problem.
Key Takeaway
Start with REST unless you have a clear reason to adopt GraphQL. The complexity GraphQL introduces is worth it at scale and with the right use case — but it's unnecessary overhead for simple services.