The API Architecture Decision
REST has been the default for over a decade. GraphQL, introduced by Facebook in 2015, offers a fundamentally different approach. Neither is universally better—the right choice depends on your data relationships, client diversity, and team experience.
How REST Works
REST maps resources to URLs and uses HTTP methods for CRUD operations. Each endpoint returns a fixed data shape. To fetch a user with their posts and comments, you might need three requests: /users/1, /users/1/posts, /posts/5/comments. This simplicity is REST's strength and its limitation.
How GraphQL Works
GraphQL exposes a single endpoint. Clients send a query specifying exactly which fields they need, including nested relationships. One request fetches a user, their posts, and comments—no over-fetching, no under-fetching. The server resolves each field using resolver functions, assembling the exact response shape the client requested.
The schema defines your API's type system: what data exists, how it relates, and what operations are available. Clients explore the schema using introspection, and tools like GraphiQL provide auto-complete and documentation without any additional setup. This self-documenting nature is one of GraphQL's strongest features.
When REST Wins
REST excels with simple CRUD operations, public APIs consumed by many third parties, and teams already proficient in REST patterns. HTTP caching works out of the box—CDNs cache GET responses by URL. Tooling is mature, and every developer understands it. For APIs with predictable, uniform data access patterns, REST's simplicity is a genuine advantage.
REST is also better for file uploads, webhooks, and streaming responses. These patterns map naturally to HTTP semantics but require workarounds in GraphQL. If your API is primarily CRUD with occasional file handling, REST keeps things simple.
When GraphQL Wins
GraphQL shines when clients have diverse data needs. A mobile app fetching minimal fields and a web dashboard fetching detailed analytics can use the same API. It eliminates the "create a new endpoint for every view" problem that plagues REST APIs in applications with complex, interconnected data.
GraphQL also excels in rapid frontend iteration. Frontend developers can modify their queries without waiting for backend changes. Need an extra field? Add it to the query. No longer need one? Remove it. This decouples frontend and backend development velocity.
Performance Considerations
REST benefits from HTTP/2 multiplexing and CDN caching. GraphQL requires server-side complexity to prevent expensive nested queries—implement query depth limiting, complexity analysis, and DataLoader for batched database access. Without these safeguards, a single GraphQL query can trigger thousands of database queries.
Our Recommendation
Start with REST if your API serves a single client type or is public-facing. Consider GraphQL when you have multiple client platforms with varying data needs, complex data relationships, or rapid frontend iteration requirements. Many successful applications use both: REST for simple public endpoints and GraphQL for complex internal data fetching.
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