Question 1

When should I choose GraphQL over REST?

Accepted Answer

GraphQL shines when clients need flexible, precise data from complex, nested relationships, when you serve many different frontends with different data needs, or when over-fetching and under-fetching plague your REST endpoints. REST stays simpler for basic CRUD, public APIs, and cases where HTTP caching matters. It's not all-or-nothing — many systems run both, and we'll recommend based on your client diversity and data shape.

Question 2

What is the N+1 problem in GraphQL?

Accepted Answer

It's the most common GraphQL performance killer. A query for a list of items, each with a related field, naively triggers one database query per item — 1 for the list plus N for the relations. The fix is DataLoader, which batches and caches these lookups into a single query per request. We build resolvers with DataLoader from day one, because retrofitting it later is painful.

Question 3

Isn't GraphQL a security risk?

Accepted Answer

GraphQL's flexibility can be abused: a deeply nested or hugely complex query can overload your server if unguarded. We mitigate this with query depth limits, complexity scoring that rejects expensive queries before execution, rate limiting, and disabling introspection in production where appropriate. Field-level authorization ensures clients can only request data they're permitted to see. Done right, GraphQL is as secure as a well-built REST API.

Question 4

Can I migrate from REST to GraphQL gradually?

Accepted Answer

Yes, and that's usually the safe path. We can put a GraphQL layer in front of your existing REST endpoints or database, exposing a graph while the old API keeps running. Clients migrate query by query, and you retire REST endpoints only once nothing depends on them. A big-bang rewrite is rarely necessary or wise.

Question 5

Does GraphQL support real-time data?

Accepted Answer

Yes, through subscriptions, typically over WebSockets. When data changes on the server — a new message, a price update, a status change — subscribed clients receive it instantly without polling. We implement subscriptions where live data genuinely adds value, with attention to scaling, since maintaining many open connections needs the same care as any real-time system.

Question 6

What is GraphQL federation and do I need it?

Accepted Answer

Federation lets you compose multiple GraphQL services into one unified graph, so each team owns its part of the schema while clients query a single endpoint. You need it when multiple teams or services must contribute to one API — common in larger organizations. For a single application, a monolithic schema is simpler and you should not reach for federation prematurely. We'll tell you which fits your scale.

Question 7

How does GraphQL improve frontend development?

Accepted Answer

Frontend teams move faster because they request exactly the data each screen needs in one round trip, without waiting for backend changes to add or remove fields. The strongly typed schema enables code generation, so frontend types stay in sync with the API automatically, and introspection powers excellent tooling and autocomplete. The result is fewer integration bugs and less back-and-forth between teams.

Question 8

How long does a GraphQL API take to build?

Accepted Answer

A focused GraphQL API over a clean data model typically takes 4–10 weeks. Adding subscriptions, federation across multiple services, complex authorization, or migrating a large REST surface extends that. The biggest drivers are schema complexity, the number of data sources the resolvers must coordinate, and how strict your performance and security requirements are.

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