REST endpoints return tons of extra data, but the client only needs a couple of fields? GraphQL flips the approach: one endpoint, the client requests only what it needs. Typed schema, subscriptions for real-time, Apollo for caching. No overfetching or underfetching.
GraphQL is a query language and runtime for APIs with a typed schema. One endpoint, the client decides which fields and relationships to query. No overfetching, no under-fetching. Queries for reading, mutations for writing, subscriptions for real-time.
Typed Schema — Schema Definition Language (SDL). Every type, field, and argument is strictly typed. Errors at compile time, not runtime. GraphQL pairs well with React clients and Next.js
Single Endpoint — /graphql instead of dozens of REST routes. All requests via POST, schema introspection directly from the browser via GraphiQL or Apollo Studio
Subscriptions (real-time) — WebSocket subscriptions for changes. Chat, notifications, activity feed — everything in real time through a single mechanism
Apollo / Relay — client libraries with caching, optimistic updates, and type code generation
GraphQL · Schema · Queries · Mutations · Apollo
GraphQL is a declarative query language. The client describes what data it needs and gets exactly that. Not a byte extra. Strict typing, introspection, single endpoint.
Types, interfaces, union types, enums. Strict validation at the schema level. Any query is checked before execution — errors are impossible.
Apollo Server with caching and authorization. Apollo Client with InMemoryCache, optimistic updates, and type code generation from the schema.
WebSocket-based subscriptions. Instant updates for chats, notifications, activity feeds, and collaborative applications.
GraphQL changes the game: now the client dictates what data to receive. The frontend developer writes a query and gets exactly what the screen needs. No coordination with the backend for every field.
GraphQL is a contract between client and server based on a strict schema. We design schema-first, generate types automatically, and test every resolver.
Schema Design — Schema-first approach. First, the SDL description of types, query and mutation roots. Clients receive the schema before server development begins.
Resolvers and DataLoader — efficient resolvers with batching via DataLoader. The N+1 problem is solved architecturally, not with workarounds.
Hybrid REST + GraphQL — we combine REST for simple CRUD operations and GraphQL for complex queries. Unified authentication and authorization.
Codegen and Typing — GraphQL Codegen generates TypeScript types from the schema automatically. Client code is fully typed, errors at compile time.
Subscriptions and real-time — WebSocket subscriptions via Apollo or graphql-ws. Chat, notifications, collaborative editing — all in real time.
GraphQL for mobile applications — the client requests only the needed fields, no overfetching. Ideal for iOS and Android with limited bandwidth.
Schema description → generation of TypeScript types, React hooks, and documentation. No manual duplication. Changed the schema — types updated automatically.
Order GraphQL API — get a flexible, typed, and performant data layer that accelerates frontend development and eliminates unnecessary requests.
We design the GraphQL schema in SDL before writing resolvers. Types, relationships, mutations — the frontend sees a ready contract from day one.
Unit tests for each resolver, integration tests for the schema, auto-deploy with Apollo Studio. The schema does not break clients when changes are made.
Interactive documentation with the ability to run queries directly in the browser. Subscriptions via WebSocket in real time.
GraphQL is flexibility without chaos. The client gets exactly what it requested, and the server guarantees types and structure. Frontend and backend evolve independently but remain compatible — the schema keeps order.
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