Rest Vs Graphql
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1. REST in one paragraph
REST vs GraphQL is one of the most asked questions in backend interviews — and one of the most misunderstood. The truthful answer is boring: both work, pick the one that fits your problem. This guide explains what they actually are and when each wins.
2. GraphQL in one paragraph
If you understand the trade-offs below, you can answer interview questions on the topic and make the right call on a real project.
3. Over-fetching, the core problem
Resources mapped to URLs. HTTP verbs (GET, POST, PUT, DELETE) describe the action. Each endpoint returns a fixed shape. Simple, cacheable, ubiquitous. Default choice for most APIs in 2026.
4. Under-fetching, the other core problem
A single endpoint. Clients send a query specifying exactly what fields they want. Server resolves the query and returns just those fields. Solves over-fetching and under-fetching — clients get what they need, no more.
5. Where REST wins
To show a user’s posts and comments, REST often needs 3 requests. GraphQL does it in 1. Fewer round trips = faster. Big win for complex UIs with lots of related data.
6. Where GraphQL wins
Simple CRUD APIs. Public APIs where consumers vary (cacheability matters). Microservices with small surface areas. Teams without GraphQL experience. You don’t pay the complexity cost when you don’t need the flexibility.
7. Caching is harder in GraphQL
Complex frontends pulling from many resources. Mobile apps minimizing bandwidth. Apps with many client types (web + mobile + watch) each needing different data shapes. APIs serving many teams with different needs.
8. File uploads and binary data
REST piggybacks on HTTP caching — CDNs just work. GraphQL queries are POSTs, so standard HTTP caching doesn’t apply. You need client-side caching (Apollo, Relay) and careful server-side caching. Real operational cost.
9. Rate limiting and throttling
REST handles these naturally. GraphQL needs extensions (multipart spec). Small friction but real. If your API is file-heavy, REST is simpler.
10. Learning curve
Easier with REST — count requests per endpoint. With GraphQL, one query can fetch a lot or a little; you need complexity-based throttling (query cost analysis). Not impossible, just more work.
11. The hybrid approach
REST is basically free — it’s just HTTP. GraphQL adds schemas, resolvers, clients, tooling. Steeper ramp-up for new team members. Budget training time if you adopt it.
12. Interview answer
Many companies use REST for public APIs and GraphQL for internal frontends. Or gRPC between services + REST externally. You don’t have to pick one for the whole system.