REST vs GraphQL

Overview

REST (Representational State Transfer) and GraphQL are two dominant approaches to building web APIs. REST organizes an API around resources, each reached through its own URL and manipulated with HTTP verbs. GraphQL exposes a single endpoint backed by a typed schema; clients send queries describing exactly the data they want and receive a matching response.

Key Differences

The core difference is who controls the response shape. With REST, the server defines fixed representations per endpoint, so a client often fetches more data than it needs or makes several calls to assemble a view. With GraphQL, the client specifies fields, so one request can return precisely the required graph of data.

Caching diverges sharply. REST rides on the HTTP cache: browsers, proxies, and CDNs can cache GET responses using ETags and cache-control headers with no extra work. GraphQL typically posts queries to one URL, so HTTP caching does not apply; teams rely on client-side normalized caches or persisted queries instead.

Typing and discoverability favor GraphQL. Its schema is mandatory and introspectable, enabling autocompletion, validation, and generated clients. REST can achieve similar benefits with OpenAPI, but the contract is optional and lives outside the protocol.

Complexity moves to the server with GraphQL. Resolvers must avoid N+1 query explosions (commonly with DataLoader-style batching), and public GraphQL endpoints need query-depth and cost limits to prevent abuse. REST servers are generally simpler to build, secure, and operate.

When to Choose REST

Choose REST for public, cacheable APIs where CDN and HTTP-layer caching deliver large performance wins. It suits straightforward CRUD domains, file and media endpoints, and teams that value simplicity and broad familiarity. REST is also a safe default when consumers are unknown and stability matters more than flexibility.

When to Choose GraphQL

Choose GraphQL when many clients—web, mobile, partner apps—need different slices of the same data, or when a single screen must aggregate several backends. It shines for product teams iterating quickly on UI, because the frontend can change its data requirements without new backend endpoints. It also helps reduce round trips on high-latency mobile networks.

Verdict

Neither approach is universally better. REST remains the pragmatic default for cacheable, resource-centric, and public APIs. GraphQL pays off when client-driven data shaping and backend aggregation outweigh its added server complexity. Many organizations run both: REST for stable, cacheable surfaces and GraphQL as a flexible aggregation layer for product UIs.