GraphQL API development for flexible, efficient data access. We build type-safe GraphQL APIs with proper schema design, resolvers, and performance optimization.
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GraphQL eliminates over-fetching and under-fetching by letting clients request exactly the data they need. But GraphQL APIs need careful design to avoid N+1 queries, security issues, and complexity. We build GraphQL APIs that deliver on the promise β flexible, performant, and type-safe.
We build with Apollo Server, GraphQL Yoga, or Pothos for schema-first or code-first approaches. DataLoader for query batching, GraphQL Shield for authorization, and GraphQL Codegen for type-safe clients. Monitoring with Apollo Studio or custom tracing.
Products with complex data requirements where clients need flexible querying β dashboards, mobile apps needing minimal payloads, or platforms serving diverse client types. Also ideal for microservice architectures that need a unified API layer via federation.
Model domain types, define queries/mutations, and plan subscription requirements.
Build resolvers with DataLoader batching, implement authorization, and set up error handling.
Set up GraphQL Codegen, build client queries, and implement caching strategies.
Add query depth limiting, cost analysis, persisted queries, and performance monitoring.
Generate schema docs, create developer guides, and deploy with monitoring.
Let's build a GraphQL API that gives your clients exactly the data they need β fast and type-safe.
GraphQL is ideal when your frontend needs flexible data fetching, you have multiple client types (web, mobile, IoT) with different data needs, or you want to eliminate over-fetching. MicrocosmWorks helps you evaluate whether GraphQL fits your use case.
GraphQL API development at MicrocosmWorks ranges from $20-$50/hour depending on schema complexity, resolver logic, real-time subscription requirements, and federation needs.
Yes, we build federated GraphQL architectures using Apollo Federation or Schema Stitching, allowing each microservice to own its portion of the graph while presenting a unified API to clients.
We implement DataLoader for batching and caching database queries, use query complexity analysis to reject expensive queries, set depth limits, and configure persisted queries to prevent abuse while maintaining flexible data fetching.
Yes, we implement GraphQL subscriptions using WebSockets with libraries like graphql-ws, supporting real-time features like live notifications, chat, collaborative editing, and dashboard updates with proper authentication and connection management.