GraphQL APIs Built Schema-First, Typed End to End in Oxford

Custom API development covers REST, GraphQL and real-time APIs broadly. This is the dedicated GraphQL engagement for teams that have chosen, or are weighing, a graph — with GraphQL-specific schema design, batching, and query-cost hardening. If REST suits you better we will say so.

No. GraphQL shines with multiple clients needing different data shapes, headless front ends, or REST endpoint sprawl. For simple single-client services REST is often simpler and cheaper to operate. We recommend based on your situation, not fashion.

The common failure is N+1 queries and unbounded expensive queries. We use dataloader batching, query depth and cost limits, persisted/allow-listed queries, and per-query observability so the graph stays fast and predictable under load.

Yes — a GraphQL layer can sit in front of existing databases, REST services and third-party APIs as a unifying graph. We design that integration with our database & API team so it is efficient rather than a slow pass-through.

Yes. Auth is enforced at the resolver level so access control is consistent across every field and relationship, combined with rate limiting and persisted queries for public-facing graphs.

Yes. The schema generates strongly-typed clients and self-documenting tooling, so consuming teams — including app builds from our app development service — integrate quickly with compile-time safety.