Build modern, type-safe APIs with GraphQL. Our schema-first development approach delivers efficient data fetching, real-time capabilities, and exceptional developer experience with automatic code generation and type safety across your entire stack.
From Apollo Server to Hasura, we architect scalable GraphQL APIs with federation support, N+1 optimization, and enterprise-grade caching strategies. Perfect for microservices, real-time apps, and modern frontend frameworks.
Define your API contract with GraphQL SDL before implementation. Strong typing, auto-generated documentation, and contract-driven development ensure API consistency and excellent DX.
WebSocket-powered GraphQL subscriptions for live data updates. Implement chat, notifications, live dashboards, and collaborative features with the same type-safe GraphQL API.
GraphQL Code Generator creates TypeScript types, React hooks, and SDK clients from your schema. Catch errors at compile-time and enjoy autocomplete across frontend and backend.
Apollo Federation or schema stitching to unify multiple GraphQL services into a single graph. Build distributed systems while maintaining a cohesive API for clients.
DataLoader batching and caching to solve the N+1 problem. Query complexity analysis, depth limiting, and cost calculation prevent abusive queries and ensure performance at scale.
Redis caching, persisted queries, and automatic cache invalidation. CDN integration with GET-based queries for global edge caching and lightning-fast response times.
Choose GraphQL when you need flexible data fetching, have multiple client types with different data needs, want strong typing and code generation, or require real-time subscriptions. GraphQL excels in mobile apps, complex UIs, and microservices. Stick with REST for simple CRUD APIs, public APIs needing HTTP caching, or when you need broad tooling support.
Apollo Federation lets you split your GraphQL schema across multiple services while presenting a unified API to clients. Each service owns its types and fields, the gateway composes them into a supergraph, and queries are automatically distributed across services. Perfect for microservices architectures where teams own different domains but clients need a single API.
We use DataLoader to batch and cache database queries within a single request. When resolving a list of users and their posts, DataLoader collects all user IDs, makes one batched query instead of N separate queries, and caches results. Combined with query complexity analysis and depth limiting, this prevents performance issues while maintaining GraphQL flexibility.
GraphQL security requires query depth limiting to prevent deeply nested queries, complexity analysis to prevent expensive operations, rate limiting per client, authentication and field-level authorization, disabling introspection in production, and using persisted queries to whitelist allowed operations. We implement all of these plus input validation and CSRF protection.
Schema-first development with real-time capabilities and automatic code generation
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