REST API vs GraphQL Comparison

Resource-based, stateless, universal HTTP standards

VS
GraphQL

A query language — the client specifies exactly what it wants

8 min readAraçlar

Quick Verdict

For small-to-medium APIs and public integrations, choose REST — simple, universal, cache-friendly. If you have complex data requirements, multiple clients, and need fast product iteration, GraphQL is a strong choice. In 2025, many companies adopt a hybrid approach: REST for stable throughput, GraphQL for queries that need flexibility.

REST APIGraphQL
Read the full verdict

Score Comparison

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Detailed Scoring

Detailed Scoring: REST API and GraphQL — category-by-category scores out of 10
CategoryREST APIGraphQL
Performance
8/10
8/10
Ease of Learning
9/10
6/10
Ecosystem
10/10
8/10
Community
10/10
8/10
Job Market
10/10
8/10
Future-Proof
8/10
9/10

Pros & Cons

REST API

Pros

  • Universally understood — every developer, every language knows REST
  • HTTP caching mechanisms can be used directly
  • Simple tooling — easy to debug with curl, Postman, or a browser
  • Native support for file uploads and binary data
  • Excellent performance when cached behind a CDN
  • Stateless — every request is independent, making scaling easy
  • Compatible with webhook and event-driven architectures

Cons

  • Over-fetching — an endpoint can return more data than needed
  • Under-fetching — completing one request may require multiple endpoint calls
  • Versioning — managing /v1, /v2 gets complicated as the API evolves
  • Mobile clients often need dedicated endpoints — may require a BFF (Backend for Frontend) pattern
  • Hard to break large monolithic endpoints into smaller pieces

Best For

Simple CRUD operations and small-scale APIsPublic APIs and third-party integrationsApps requiring file uploadsSystems that want to leverage a CDN and HTTP cachingService-to-service communication in a microservices architecture

GraphQL

Pros

  • The client specifies exactly the fields it needs — no over/under-fetching
  • A single endpoint — all data flows through /graphql
  • Strong type system with automatic documentation (introspection)
  • Subscription support for real-time data
  • Fast iteration — frontend/mobile can add new fields without backend changes
  • Combine data from multiple sources in a single query
  • Powerful client libraries such as Apollo and urql

Cons

  • HTTP caching is difficult — all queries are POST requests, and content is dynamic
  • The N+1 query problem must be solved with tools like DataLoader
  • File uploads are less intuitive than with REST
  • Learning curve — schema, resolver, mutation, and subscription concepts
  • Can be overly complex for simple APIs
  • Monitoring and logging aren't as straightforward as with REST

Best For

Complex, relational data modelsMultiple clients (web, iOS, Android) with different data needsProducts requiring fast iterationReal-time features (chat, live feeds)Eliminating the need for a BFF (Backend for Frontend)

Code Comparison

REST API
// Swift - REST API client
import Foundation

enum HTTPMethod: String {
    case GET, POST, PUT, DELETE, PATCH
}

struct APIClient {
    private let baseURL = URL(string: "https://api.example.com")!
    private let session: URLSession

    init(session: URLSession = .shared) {
        self.session = session
    }

    func request<T: Decodable>(
        path: String,
        method: HTTPMethod = .GET,
        body: Encodable? = nil
    ) async throws -> T {
        var url = baseURL.appendingPathComponent(path)
        var request = URLRequest(url: url)
        request.httpMethod = method.rawValue
        request.setValue("application/json", forHTTPHeaderField: "Content-Type")
        request.setValue("Bearer \\(AuthManager.shared.token)", forHTTPHeaderField: "Authorization")

        if let body {
            request.httpBody = try JSONEncoder().encode(body)
        }

        let (data, response) = try await session.data(for: request)

        guard let http = response as? HTTPURLResponse else {
            throw APIError.invalidResponse
        }

        switch http.statusCode {
        case 200...299:
            return try JSONDecoder().decode(T.self, from: data)
        case 401:
            throw APIError.unauthorized
        case 404:
            throw APIError.notFound
        default:
            throw APIError.serverError(http.statusCode)
        }
    }
}

// Usage
let client = APIClient()
let user: User = try await client.request(path: "/users/123")
let posts: [Post] = try await client.request(path: "/users/123/posts")
GraphQL
// Swift - GraphQL Apollo client
import Apollo
import Foundation

// GraphQL query definition (code-generated)
// query GetUserWithPosts($id: ID!) {
//   user(id: $id) {
//     id
//     name
//     email
//     posts(limit: 5) {
//       id
//       title
//       excerpt
//       publishedAt
//     }
//   }
// }

class GraphQLService {
    private lazy var apollo = ApolloClient(url: URL(string: "https://api.example.com/graphql")!)

    func fetchUserWithPosts(id: String) async throws -> UserWithPostsQuery.Data.User {
        try await withCheckedThrowingContinuation { continuation in
            apollo.fetch(query: UserWithPostsQuery(id: id)) { result in
                switch result {
                case .success(let graphQLResult):
                    if let errors = graphQLResult.errors {
                        continuation.resume(throwing: GraphQLError(errors))
                    } else if let user = graphQLResult.data?.user {
                        continuation.resume(returning: user)
                    } else {
                        continuation.resume(throwing: APIError.notFound)
                    }
                case .failure(let error):
                    continuation.resume(throwing: error)
                }
            }
        }
    }

    func createPost(title: String, content: String) async throws -> CreatePostMutation.Data.CreatePost {
        try await withCheckedThrowingContinuation { continuation in
            apollo.perform(mutation: CreatePostMutation(title: title, content: content)) { result in
                switch result {
                case .success(let graphQLResult):
                    if let post = graphQLResult.data?.createPost {
                        continuation.resume(returning: post)
                    } else {
                        continuation.resume(throwing: APIError.invalidResponse)
                    }
                case .failure(let error):
                    continuation.resume(throwing: error)
                }
            }
        }
    }
}

Conclusion

For small-to-medium APIs and public integrations, choose REST — simple, universal, cache-friendly. If you have complex data requirements, multiple clients, and need fast product iteration, GraphQL is a strong choice. In 2025, many companies adopt a hybrid approach: REST for stable throughput, GraphQL for queries that need flexibility.

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FAQ

Frequently Asked Questions

No. The two serve different use cases. REST will remain simple and universal; GraphQL is a strong alternative for complex product needs.

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