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REST is the right default for most products: it is simple, caches well and every developer and partner understands it. GraphQL pays off when many different clients request different slices of one complex data model, and gRPC suits fast communication between internal services. Mixing them is fine: a public REST API outside, gRPC calls inside.

Here is how they differ and how to choose for your case.

How do REST, GraphQL and gRPC fundamentally differ?

They differ in who decides the shape of the response and how data travels. In REST the server defines resources and the client fetches them whole by URL. In GraphQL the client specifies in the query which fields it needs. In gRPC the client calls service methods defined by a strict contract, in a compact binary format.

Criterion REST GraphQL gRPC
Who shapes the response Server Client Contract in a .proto file
Format JSON over HTTP JSON over HTTP, one endpoint Protocol Buffers over HTTP/2
Caching Standard HTTP caching Harder: client-side or query-level caches Custom
From the browser Native Native Via a gRPC-Web proxy
Contract strictness OpenAPI optional Schema required .proto required
Learning curve Low Medium Medium and up
Typical use Public and partner APIs, web and mobile clients Complex UIs with many clients Internal service-to-service calls

When is REST the best choice?

REST is the best choice when the API serves a web front end, a mobile app or partners, and the data model does not need flexible queries on every screen. It is the most common and familiar format: every developer knows it, every tool supports it, and responses cache with standard HTTP and CDN tooling.

REST is especially convenient when:

  • the API is public or for partners, and ease of use matters;
  • responses can be cached — catalogues, content, reference data;
  • the team is small and does not want new tooling;
  • you need simple authentication, rate limits and monitoring at the HTTP level.

We covered the rules that make a REST API pleasant to use in how to design a REST API.

When do you need GraphQL?

You need GraphQL when one complex data model has many different clients and screens, each needing its own slice. Instead of a dozen specialised REST endpoints, the client gets exactly what it needs in one query, and the front-end team depends less on the backend.

query OrderScreen($id: ID!) {
  order(id: $id) {
    number
    status
    customer { name phone }
    items { title quantity price }
  }
}

The price of flexibility is server complexity. Without limits a single query can pull a huge graph, so you need depth and complexity limits, N+1 protection through batched loading and careful field-level authorisation. You also cannot cache responses by URL the way REST does.

A close-up of a network with connected wires Photo: Unsplash

When should you choose gRPC?

Choose gRPC for communication between internal services where speed, a strict contract and streaming matter. The binary Protocol Buffers format is more compact than JSON, HTTP/2 multiplexes many calls over one connection, and client and server code are generated from one definition.

syntax = "proto3";

service Payments {
  rpc Charge (ChargeRequest) returns (ChargeResult);
}

message ChargeRequest {
  string order_id = 1;
  int64 amount = 2;      // in the currency's minor units
  string currency = 3;
}

gRPC limitations

  • browsers cannot call gRPC directly — you need a gRPC-Web proxy or a separate REST layer;
  • binary messages are harder to inspect when debugging;
  • for public APIs and partners, gRPC is an unnecessary barrier.

That is why gRPC usually lives inside the system while REST or GraphQL faces outward. If your system has no separate services yet, the choice of protocol between them can wait too — see monolith vs microservices.

Can you combine several approaches?

You can, and it is often right: each protocol solves its own problem. What matters is that each layer has a clear owner and shared rules for authentication, logging and error handling.

Typical combinations:

  1. REST outside, gRPC inside. A public API for clients and partners, fast calls between services.
  2. GraphQL for your front end, REST for partners. Flexible queries for your own UIs and a simple, stable API for external systems.
  3. REST plus webhooks. The partner calls your API, and your system notifies them of events such as payments or status changes.

The key is not to choose a protocol "for future growth". You can add GraphQL on top of a working REST API or move internal calls to gRPC when a concrete reason appears.

In short

  • REST is the default for web, mobile and partners: simple and cacheable.
  • GraphQL fits many clients requesting different slices of one complex model; it needs limits and safeguards.
  • gRPC is for fast, strictly typed communication between internal services.
  • Combine them: REST outside, gRPC inside, GraphQL for your own interfaces.
  • Pick the protocol for today's problem, not for hypothetical growth.

FAQ

  • Is GraphQL faster than REST?

    Not by itself. GraphQL saves extra requests and fields, but the server-side query can end up heavier. Speed depends on resolver implementation, batching and caching.

  • What is tRPC and how is it different from gRPC?

    tRPC is a TypeScript library that gives typed calls between front end and backend without a separate schema. It is handy when both sides are TypeScript, whereas gRPC is language-agnostic and designed for service communication.

  • Is GraphQL a good fit for mobile apps?

    Yes, especially with many screens and slow networks: the app gets only the fields it needs in one request. But schema compatibility must be managed carefully, because old app versions stay on users' phones for a long time.