Web APIs
REST vs GraphQL APIs: Architecture, Performance & Data Fetching
REST uses standard HTTP endpoints for resources; GraphQL uses a single endpoint where clients request the exact fields they need.
Comparison Matrix
| Feature / Criterion | Option A | Option B |
|---|---|---|
| Endpoint Structure | Multiple endpoints (/users, /courses, /orders) | Single endpoint (/graphql) accepting query documents |
| Data Fetching | Fixed payload defined by the server (risks over-fetching) | Client declares exact shape and fields required |
| HTTP Caching | Native browser & CDN caching via standard HTTP status/headers | Complex caching (POST requests cannot be cached by default CDNs) |
| Learning Curve | Low (built on standard HTTP verbs and status codes) | Moderate to high (requires schema definition, resolvers, clients) |
| Best For | Public APIs, microservices, file uploads, standard CRUD apps | Complex client apps with nested data requirements (mobile) |
Advantages & Limitations
Key Advantages
- Simple to understand and build with native HTTP tools
- Leverages web standards (status codes, headers, browser caches)
- Widely supported across every programming language and tool
Trade-offs & Pitfalls
- Can lead to over-fetching (unnecessary data) or under-fetching (multiple network round trips)
Engineering Verdict & Best Practices
Start with clean RESTful API design (as taught in Month 6 of DoxaTech Hub). Introduce GraphQL when mobile applications have complex nested relationship queries over constrained networks.
Frequently Asked Questions
Can an application use both REST and GraphQL?
Yes! Many tech companies maintain REST endpoints for public integrations and authentication, and GraphQL for internal frontend apps.
Other Comparisons
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