REST vs GraphQL vs gRPC: How to Choose Your API Style
8minREST is the default, GraphQL sells flexibility, gRPC sells performance. All three are fine choices: the mistakes happen when teams adopt a style for its reputation instead of its constraints.
Match the API style to who consumes it: browsers, internal services, or mobile apps have different payload, caching, and versioning needs.
REST
Resources + HTTP verbs + status codes. Simple, cacheable, universally understood, and every language can call it.
GraphQL
One endpoint, typed schema, client asks for exactly what it needs. Powerful querying, harder caching, sharp edges.
gRPC
Binary protocol with typed contracts (protobuf). Fast, streaming-friendly, but awkward outside the server-to-server world.
| Aspect | REST | GraphQL | gRPC |
|---|---|---|---|
| Payload size | JSON: every field on the wire | Exactly what the client requested | Tiny binary: smallest and fastest |
| Contract enforcement | Implicit: docs or OpenAPI | Strong: a typed schema the client introspects | Strongest: code-generated clients from .proto files |
| Caching | HTTP-native (ETag, CDNs) | Hard: POST-like queries break standard caches | Not applicable: rarely used through HTTP caches |
| Versioning | URL/header-based, additive changes are easy | Schema evolution is designed in, but breaking changes still hurt | Backwards-compatible fields are first-class in protobuf |
| Streaming | SSE/WebSocket bolted on | Subscriptions supported | First-class bidirectional streaming |
| Browser / mobile fit | Everything | Great for mobile: fewer round trips, smaller payloads | Poor: needs a proxy like gRPC-Web, no native browser support |
Start with REST: it is the lowest-risk default and every client ecosystem supports it. Move to GraphQL when clients repeatedly over-fetch or you have many mobile clients with divergent data needs. Use gRPC when both ends are your own services, payload size and latency matter, or you need real streaming. Do not use gRPC for public browser-facing APIs, and do not adopt GraphQL just to escape versioning: it changes the problem, it does not remove it.
- •Choosing GraphQL for a simple CRUD API: the schema and resolver layer is pure overhead.
- •Using gRPC for public APIs and forcing every third-party client through a proxy layer.
- •Treating the API style as immutable: REST endpoints can wrap gRPC internally, and clients never need to know.
- •Ignoring the "N+1" and query-depth costs of GraphQL until a malicious or careless query takes the service down.