Question 1

Why use GraphQL instead of a standard REST API?

Accepted Answer

In REST, endpoints return fixed data structures. If your mobile app only needs a user's name, but the /users endpoint returns 50 fields including their entire purchase history, you are wasting bandwidth (over-fetching). GraphQL solves this by letting the client dictate exactly what fields it wants returned.

Question 2

Can GraphQL wrap our existing REST APIs?

Accepted Answer

Yes! This is a very common approach. We can build a GraphQL server that acts as an API Gateway, fetching data from your underlying, legacy REST services and presenting it to the frontend as a clean, unified GraphQL graph.

Question 3

Will moving to GraphQL require rewriting our whole backend?

Accepted Answer

No. GraphQL can sit as a layer in front of your existing REST APIs and databases, resolving fields from the sources you already have. This lets you adopt it incrementally for new clients while legacy REST endpoints keep serving older consumers.

Question 4

Does GraphQL create performance or N+1 query problems?

Accepted Answer

It can if implemented naively, because resolving nested fields may trigger many database calls. We prevent this with batching tools like DataLoader, query depth limits, and caching, so a single GraphQL request stays efficient even with deeply nested data.

Question 5

How do you secure a GraphQL API?

Accepted Answer

Because clients can craft arbitrary queries, we enforce query depth and complexity limits to block expensive or malicious requests, plus field-level authorization so users only access data they're permitted to see. Rate limiting and persisted queries add further protection against abuse.

Question 6

Can GraphQL work with mobile apps and multiple front ends?

Accepted Answer

Yes, this is one of its biggest strengths. Each client requests exactly the fields it needs in one round trip, so a mobile app can fetch lean payloads while a web dashboard asks for richer data, all from the same schema without separate endpoints.

Question 7

How do you handle versioning and schema changes in GraphQL?

Accepted Answer

GraphQL favors continuous evolution over versioned endpoints: we add new fields freely and mark old ones deprecated, monitoring usage before removal. This avoids the v1/v2 endpoint sprawl common with REST while keeping existing clients working.

Question 8

What does ongoing support for a GraphQL API include?

Accepted Answer

Support covers schema evolution, resolver optimization, monitoring slow queries, and keeping the gateway and libraries patched. As your data sources change we update resolvers behind the schema so client apps are insulated from backend changes.

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