Go API: REST, GraphQL and gRPC — What to Choose in 2025

Why Go is the Ideal Language for APIs?

When it comes to building high-load APIs, Go (Golang) confidently ranks among the top. Its compiled nature, built-in concurrency support via goroutines, and minimalist syntax allow you to write fast and reliable microservices. But which protocol should you choose for your next project: classic REST, flexible GraphQL, or ultra-fast gRPC?

In this article, we won't just list the differences — we'll write real Go code for each approach, analyze benchmarks, and provide clear selection criteria. Let's go!

REST API in Go: A Proven Classic

REST (Representational State Transfer) remains the de facto standard for public APIs. Go offers an excellent standard library net/http, as well as popular frameworks like gin and echo.

Example of a REST Server in Pure Go

Let's start with a simple CRUD service for managing tasks. Here's what a minimal REST API in Go looks like without third-party dependencies:

package main\n\nimport (\n    "encoding/json"\n    "log"\n    "net/http"\n    "sync"\n)\n\ntype Task struct {\n    ID   int    `json:"id"`\n    Name string `json:"name"`\n}\n\nvar (\n    tasks   = []Task{{ID: 1, Name: "Learn Go"}}\n    mu      sync.Mutex\n    nextID  = 2\n)\n\nfunc getTasks(w http.ResponseWriter, r *http.Request) {\n    mu.Lock()\n    defer mu.Unlock()\n    w.Header().Set("Content-Type", "application/json")\n    json.NewEncoder(w).Encode(tasks)\n}\n\nfunc createTask(w http.ResponseWriter, r *http.Request) {\n    var task Task\n    if err := json.NewDecoder(r.Body).Decode(&task); err != nil {\n        http.Error(w, err.Error(), http.StatusBadRequest)\n        return\n    }\n    mu.Lock()\n    task.ID = nextID\n    nextID++\n    tasks = append(tasks, task)\n    mu.Unlock()\n    w.WriteHeader(http.StatusCreated)\n    json.NewEncoder(w).Encode(task)\n}\n\nfunc main() {\n    http.HandleFunc("/tasks", func(w http.ResponseWriter, r *http.Request) {\n        switch r.Method {\n        case http.MethodGet:\n            getTasks(w, r)\n        case http.MethodPost:\n            createTask(w, r)\n        default:\n            http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)\n        }\n    })\n    log.Println("REST API started on :8080")\n    log.Fatal(http.ListenAndServe(":8080", nil))\n}\n

Pros of REST in Go:

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• Simplicity and predictability — each endpoint returns a fixed data structure
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• Excellent caching via HTTP headers
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• Wide tool support (Swagger, Postman)
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Cons: Over-fetching and under-fetching of data. If the client only needs the task name, it still receives the full JSON.

GraphQL in Go: Query Flexibility

GraphQL solves the problem of data redundancy. The client decides which fields it needs. The Go community offers the powerful gqlgen library, which generates code from a schema.

Example of a GraphQL Server with gqlgen

First, let's define the schema.graphql schema:

type Task {\n    id: ID!\n    name: String!\n}\n\ntype Query {\n    tasks: [Task!]!\n}\n\ntype Mutation {\n    createTask(name: String!): Task!\n}\n

Now let's run the generation and write resolvers in Go:

package main\n\nimport (\n    "log"\n    "net/http"\n    "github.com/99designs/gqlgen/graphql/handler"\n    "github.com/99designs/gqlgen/graphql/playground"\n)\n\n// Assuming the generated code already exists\ntype Resolver struct {\n    tasks []Task\n    mu    sync.Mutex\n}\n\nfunc (r *Resolver) Tasks(ctx context.Context) ([]Task, error) {\n    r.mu.Lock()\n    defer r.mu.Unlock()\n    return r.tasks, nil\n}\n\nfunc (r *Resolver) CreateTask(ctx context.Context, name string) (*Task, error) {\n    r.mu.Lock()\n    defer r.mu.Unlock()\n