GraphQL Development Agency — Flexible Data APIs

GraphQL is a query language for APIs that lets clients request exactly the fields they need. It is ideal when multiple clients (web, mobile, third parties) consume the same API with different data needs, or when rapid frontend iteration is a priority. REST is simpler for straightforward CRUD APIs with predictable shapes.

Neither is universally better. GraphQL shines for complex, interconnected data with multiple consumers. REST is simpler to implement, cache, and debug for straightforward resource-based APIs. Kultrix evaluates your specific use case and recommends the appropriate approach — or a hybrid.

We use GraphQL Yoga (from The Guild) for new projects — it is framework-agnostic, standards-compliant, and supports subscriptions and file uploads out of the box. For Apollo-invested codebases, we work with Apollo Server 4. Pothos is our schema builder for code-first type-safe schemas.

The N+1 problem occurs when a GraphQL resolver fetches related data with one database query per parent item — for 100 articles each loading an author, that is 101 queries. We solve this with DataLoader, which batches and deduplicates database calls, collapsing N+1 into a single efficient query.

We prefer code-first with Pothos — schemas are defined in TypeScript, giving you compile-time type safety between resolvers and the schema. Schema-first (SDL-first) requires keeping schema and resolver types in sync manually, which creates drift in larger codebases.

We use GraphQL Code Generator to produce TypeScript types from the schema and client-side query documents. This means every React component that runs a query gets fully typed result objects — no manual interface maintenance when the schema changes.

We implement authentication via JWT, field-level authorization guards, query depth and complexity limits to prevent abuse, disabled introspection in production, persisted queries to whitelist allowed operations, and rate limiting at the HTTP layer.

GraphQL subscriptions use WebSockets (or Server-Sent Events) to push updates from server to client when data changes. We implement subscriptions with graphql-ws and PubSub (backed by Redis for multi-instance deployments) for chat, live dashboards, and collaborative features.

Yes. GraphQL can sit as a layer in front of REST APIs, databases, and third-party services — aggregating them into a single schema. This is common for migrating from REST gradually or unifying multiple microservices behind one API gateway.

We use persisted queries to enable HTTP GET-based caching at the CDN level, implement response caching with @cacheControl directives for public data, and use DataLoader caching within a single request to prevent redundant database fetches.

Yes. Prisma and GraphQL are a natural pairing — Prisma's type-safe query client produces results that map directly to GraphQL types. With Pothos + Prisma plugin, we generate GraphQL types directly from the Prisma schema with minimal boilerplate.

A GraphQL API for an existing data model takes 4–8 weeks including schema design, resolvers, type generation, and auth. A complete backend with GraphQL, database, and real-time subscriptions takes 2–4 months. Kultrix scopes GraphQL projects with schema design as the first milestone.