GraphQL APIs That Give Your Frontend Team the Data Flexibility They Crave

REST APIs force clients to accept fixed response shapes, leading to over-fetching and multiple round trips. GraphQL lets every client request exactly the fields it needs in a single query, reducing payload sizes and eliminating the waterfall requests that slow down your application.

7%

conversion loss per 100ms of latency, and GraphQL reduces latency by eliminating the multiple API round trips that REST requires for complex data needs

Akamai, 2017

GraphQL API Development

Type-safe GraphQL APIs with schema-first design, efficient resolvers, DataLoader batching, and comprehensive query optimization for flexible, high-performance data access.

What's Included

Everything you get with our GraphQL API Development

GraphQL Schema Design

Complete type-safe schema with queries, mutations, subscriptions, custom scalars, and input validation types, designed for extensibility and backward compatibility

Resolver Implementation with DataLoader

Efficient resolvers with DataLoader batching to prevent N+1 queries, connection-based pagination, and optimized database access patterns

GraphQL Playground and Documentation

Interactive GraphQL explorer with schema documentation, query autocompletion, and example queries that let developers explore your API without reading a single doc page

Our GraphQL API Development Process

1

Schema Design and Type Modeling

We model your domain as GraphQL types, define queries and mutations, design input types with validation, and establish naming conventions. The schema is reviewed by frontend consumers before implementation begins.

2

Resolver Implementation

We implement resolvers with DataLoader batching to prevent N+1 queries, optimize database access patterns, and implement connection-based pagination for list fields. Every resolver is covered by automated tests.

3

Security and Performance Safeguards

We implement query complexity analysis to prevent expensive queries, depth limiting to prevent deeply nested attacks, rate limiting per client, and authentication with field-level authorization where required.

4

Client Integration and Optimization

We set up the GraphQL client on your frontend with caching, optimistic updates, and TypeScript code generation. We configure persisted queries for production and verify performance under realistic load.

Key Benefits

Eliminate over-fetching and under-fetching

Each client requests exactly the fields it needs. Mobile apps get compact payloads. Desktop apps get rich data. Admin panels get everything. One API serves all consumers without custom endpoints for each use case.

Single request for complex data needs

A dashboard that needed three REST calls to fetch user data, their orders, and order details makes one GraphQL query that returns all three in a single response. Fewer round trips means lower latency and better user experience.

Type-safe development experience

The GraphQL schema serves as a living contract between frontend and backend. TypeScript code generation from the schema means your frontend catches API integration errors at compile time, not in production. Schema changes are validated automatically.

Research & Evidence

Backed by industry research and proven results

Web Performance Impact

A 100ms delay in load time hurts conversion rates by 7%, and GraphQL's ability to fetch all required data in a single request eliminates the waterfall delays that inflate response times

Akamai (2017)

Developer Experience Survey

40.58% of professional developers use React, and GraphQL has become the preferred API paradigm for React applications due to its type safety and client-side caching capabilities

Stack Overflow (2023)

Frequently Asked Questions

When should we use GraphQL instead of REST?

GraphQL excels when your frontend has complex data requirements that would need multiple REST calls, when you have multiple client types with different data needs, or when your frontend team wants type-safe API integration. REST is better for simple CRUD APIs, public APIs consumed by third parties, and scenarios where HTTP caching is critical.

Does GraphQL have performance problems?

Naive GraphQL implementations can be slower than REST due to N+1 query problems. Our implementations use DataLoader for batching, query complexity analysis to prevent expensive operations, and connection-based pagination for efficient list queries. Properly built, GraphQL is faster than REST for complex data needs because it eliminates multiple round trips.

Can GraphQL and REST coexist?

Yes, and we often recommend it. GraphQL for internal consumption by your frontend and mobile apps where flexibility matters. REST for public APIs where simplicity and cacheability matter. Both can share the same backend logic and database layer.

How long does GraphQL API development take?

A focused GraphQL API with 20 to 40 types, queries, mutations, and client integration takes 4 to 8 weeks. A comprehensive API with subscriptions, complex authorization, and federation across multiple services takes 8 to 14 weeks.

Give Your Frontend Team the API Flexibility They Deserve

Share your data requirements and client types. We will design the GraphQL schema that serves every consumer efficiently from a single endpoint.