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GraphQL API Design & Implementation

GraphQL schema design, resolvers, real-time subscriptions. Data queries without over-fetching.

Author: Paweł Wiszniewski · Updated:

Key takeaways

GraphQL schema design, resolvers, real-time subscriptions. Data queries without over-fetching.

  • ›GraphQL schema with best practices (input types, unions, interfaces).
  • ›Real-time subscriptions for live data feeds (notifications, chats, dashboards).
  • ›Performance optimization (DataLoader, caching, query complexity analysis).

Price: from €2,500

SERVICE DETAILS

I design GraphQL APIs with proper type definitions, resolvers, and middleware (authentication, authorization, logging). I implement real-time subscriptions via WebSocket and optimize for N+1 query problems and data fetching bottlenecks.

› INVESTMENT:

from €2,500
const module = new ExecutionProtocol();

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Who this is for

  • Teams whose frontend makes dozens of REST calls to render one screen.
  • Products with web and mobile apps that need one flexible API.
  • Companies combining data from several sources and systems in one interface.
  • Apps that need real-time updates.

What you get

  • A GraphQL schema that models the business domain, not database tables.
  • Resolvers with batching (DataLoader) that eliminate the N+1 problem.
  • Authentication, field-level authorization and query complexity limits.
  • Real-time subscriptions where they're needed.
  • Schema documentation and example queries for the frontend.

How results are measured

  • Number of requests needed to render key screens.
  • API response time under real load.
  • Database queries per GraphQL call.
  • Time the frontend needs to add a new view.

Key Benefits

GraphQL schema with best practices (input types, unions, interfaces).

Real-time subscriptions for live data feeds (notifications, chats, dashboards).

Performance optimization (DataLoader, caching, query complexity analysis).

Automatic API documentation (introspection, GraphQL Playground).

Security layer (authentication, authorization, rate limiting).

The Process

1

Requirements & Schema Design

I define entities, relationships, and queries with your client team.

2

Implementation

We code resolvers with proper error handling and data loading strategies.

3

Optimization

I implement caching, batching, and N+1 query prevention.

4

Testing & Deployment

End-to-end testing and deployment to production servers.

Frequently Asked Questions

Does GraphQL replace REST?

No, they are complementary. GraphQL excels for mobile/slow network scenarios. REST is faster for simple queries.

Is GraphQL faster?

GraphQL is not always faster—it depends on implementation. With DataLoader and proper caching it can be faster.

What tools for GraphQL testing?

GraphQL Testing Library, Apollo MockedProvider, or a standard REST client. I recommend Apollo Client in development.

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BIAŁYSTOK, PL
+48 732 022 086pawel.wiszniewski95@gmail.com