Web Development9 December 2025·11 min read

API Design: REST vs GraphQL in 2025

When to use REST vs GraphQL, over-fetching and under-fetching tradeoffs, versioning strategies, caching differences, and tRPC as a TypeScript alternative.

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The API Design Decision

Every web application needs an API layer. The choice between REST and GraphQL shapes your frontend-backend relationship, your caching strategy, your error handling, and your team's velocity. In 2025, both are mature, battle-tested, and have clear strengths.

At The Beyond Horizon, we have built production APIs in both paradigms. Here is our honest assessment.

REST: The Established Standard

REST APIs model resources as URLs. GET /api/users fetches users. POST /api/users creates one. GET /api/users/123 fetches a specific user. The HTTP method indicates the operation, the URL indicates the resource.

REST Strengths

Simplicity: REST is intuitive. Developers understand it without training. The learning curve is near zero.

Caching: HTTP caching works natively with REST. CDNs cache GET requests by URL. Browser caches work out of the box. Cache-Control headers provide fine-grained cache management.

Tooling: Every HTTP client, every API testing tool, every monitoring service supports REST natively. Postman, curl, fetch — they all speak REST.

Status codes: HTTP status codes provide a standard error signaling mechanism. 404 means not found. 401 means unauthorized. No ambiguity.

REST Weaknesses

Over-fetching: GET /api/users returns every field on the user object, even if the client only needs name and email. This wastes bandwidth, especially on mobile networks.

Under-fetching: Displaying a user's profile with their posts and comments requires three separate requests: GET /users/123, GET /users/123/posts, GET /users/123/comments. Each request adds latency.

Versioning: Breaking changes require API versioning (v1, v2). Maintaining multiple versions is a significant maintenance burden.

GraphQL: The Query Language

GraphQL is a query language for APIs. Instead of multiple endpoints, you have one endpoint (/graphql) and clients send queries specifying exactly what data they need.

GraphQL Strengths

No over-fetching: The client specifies exactly which fields to return. Request name and email — that is all you get. No wasted bandwidth.

No under-fetching: A single query can fetch a user, their posts, and their comments in one request. Nested data is resolved in one round trip.

Strong typing: The GraphQL schema defines every type, field, and relationship. The schema is the documentation. Tools like GraphQL Playground provide auto-completion and type checking.

Evolution without versioning: Add new fields without breaking existing clients. Deprecate old fields with @deprecated directives. No version numbers needed.

GraphQL Weaknesses

Caching complexity: GraphQL uses POST requests to a single endpoint. HTTP caching does not work out of the box. You need client-side caching (Apollo Client, urql) or persisted queries.

N+1 queries: Naive resolver implementations can trigger N+1 database queries. DataLoader is required to batch and deduplicate database calls.

Complexity: GraphQL has a steeper learning curve. Schema design, resolver patterns, subscriptions, and fragments take time to master.

File uploads: Not natively supported. Requires multipart form handling or a separate REST endpoint for uploads.

Over-Fetching vs Under-Fetching in Practice

Consider a social media feed. A REST API might require:

1. GET /api/feed — returns post IDs

2. GET /api/posts/:id — for each post (N requests)

3. GET /api/users/:id — for each post author (N more requests)

A GraphQL query fetches everything in one request: query { feed { posts { title, body, author { name, avatar } } } }. For mobile apps on slow networks, this difference is transformative.

Versioning Approaches

REST: URL versioning (/api/v1/users vs /api/v2/users) or header versioning (Accept: application/vnd.api.v2+json). Both require maintaining multiple implementations.

GraphQL: No versioning needed. New fields are added, old fields are deprecated with a timeline. Clients migrate at their own pace. The schema always represents the current truth.

Real-World Tradeoffs

Choose REST when:

Your API is simple CRUD with predictable access patterns

HTTP caching is critical (CDN-cached public APIs)

Your team is small and does not need the complexity

You are building a public API where simplicity and documentation matter

Choose GraphQL when:

Multiple clients (web, mobile, third-party) need different data shapes

The data is deeply relational with complex nested access patterns

Network performance is critical and reducing round trips matters

Your frontend team needs autonomy to iterate without backend changes

tRPC: The TypeScript Alternative

For full-stack TypeScript applications (Next.js frontend + Node.js backend in the same repo), tRPC deserves mention. tRPC provides end-to-end type safety without schema generation or code generation. Define a function on the server, call it on the client with full type inference.

tRPC is not REST or GraphQL — it is a remote procedure call framework. It works best when the same team controls both frontend and backend. For public APIs consumed by external developers, REST or GraphQL remain better choices.

API design is not a religious choice — it is an engineering one. Match the pattern to your constraints. Need help designing your API? Talk to us.

The Beyond Horizon Team

We are a digital agency based in Ajmer, India, specializing in Next.js web applications, React Native mobile apps, and UI/UX design. 150+ projects delivered.

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