GraphQL
A query language for APIs that lets clients request exactly the data they need, useful for applications with varied or complex data requirements.
What it enables
- Clients request exactly the fields they need, reducing over- or under-fetching
- A single endpoint serving varied query shapes for different clients
- Strong typing and self-documenting API schemas
Why it matters for your project
- Fewer round trips and less wasted bandwidth for data-heavy applications
- Flexibility for multiple client types (web, mobile) with different data needs
- A strongly-typed contract between frontend and backend teams
GraphQL services
GraphQL API Development
GraphQL schemas and resolvers designed around your data model and the queries your clients actually need.
REST-to-GraphQL Migration
Introducing a GraphQL layer alongside or in front of an existing REST API where it adds real value.
Schema & Performance Optimization
Query optimization and schema design to avoid common GraphQL performance pitfalls like over-fetching related data.
How we work with GraphQL
Schema designed around actual client needs, not a one-to-one mirror of the database
Query complexity and depth limited, to avoid a single query overwhelming the backend
Resolvers optimized to avoid the N+1 query problem common in naive GraphQL implementations
Frequently asked questions
When different clients need different shapes of the same data, or when reducing over-fetching meaningfully improves performance. For simpler APIs, REST is often simpler to build and maintain.
Yes, it's common to introduce a GraphQL layer alongside an existing REST API rather than replacing it outright.
It has a different set of trade-offs — more flexibility for clients, but requires careful schema and performance design. We help weigh this for your case.
Building something with GraphQL?
Tell us about the project and we'll help you figure out the right technical approach.