GraphQL API development
One endpoint, and clients ask for exactly the fields they need — which is powerful, and needs guarding.
API style
Chosen per project
Maintainable handover
GraphQL earns its place when several different clients need different shapes of the same data. A mobile list view wants three fields; a desktop detail view wants forty; with REST that becomes either over-fetching or a growing family of near-duplicate endpoints.
It moves work rather than removing it. The server must now defend against expensive queries, avoid the N+1 problem when resolving nested fields, and think about caching, which HTTP no longer does for you.
What we build with GraphQL
One backend serving web, mobile and partner clients with different needs
Interfaces that aggregate several services into a single view
Front-end teams iterating quickly without a backend change per screen
Reducing round trips on slow mobile connections
Where it fits — and where it does not
Good fit when
Multiple clients with divergent data requirements
Deeply related data fetched in one request
Teams that can own a schema as a shared contract
Consider something else when
Simple CRUD with one client — REST is less machinery
Public APIs where HTTP caching and CDN behaviour matter
Heavy file upload and download flows
GraphQL or REST?
A real comparison rather than a preference. Both are correct answers to different questions.
Many client shapes
GraphQL — each asks for what it needs.
Public integration
REST — every partner already speaks it.
Deep related data
GraphQL — one round trip instead of five.
Cacheable content
REST — HTTP caching works out of the box.
How we work with GraphQL
Schema as the contract
The schema is designed and reviewed as a product interface, not generated automatically from database tables.
Batched resolvers
DataLoader-style batching so nested fields do not turn into hundreds of database queries.
Cost limits
Query depth and complexity limits, plus persisted queries for public clients, so one request cannot exhaust the server.
Field-level authorisation
Permissions enforced per field, because a flexible query language means clients will ask for everything.
Our typical GraphQL setup
| Concern | What we use |
|---|---|
| Servers | Apollo Server, or the GraphQL implementation native to the stack |
| Performance | Batched and cached resolvers to defeat N+1 |
| Safety | Depth and complexity limits, persisted queries |
| Authorisation | Per-field checks, not just per-endpoint |
| Tooling | Schema in version control, breaking-change checks in CI |
Frequently asked questions
No — it is different. It is better when several clients need different slices of related data, and worse when you want plain HTTP caching and universal partner compatibility.
Without limits, yes, which is why depth and complexity limits go in from the start, and public clients use persisted queries rather than arbitrary ones.
Yes, and it is a common first step. The schema resolves to existing services, which keeps the change contained.
Topics people search for
Services built with GraphQL
API Development
The interfaces that let your systems talk to each other, and let partners build on top of what you have.
Web Application Development
Applications that run in the browser, handle real workloads and hold up when several departments depend on them at once.
Mobile App Development
Apps built to be used daily — fast to open, sensible offline and maintainable once they are in the stores.
SaaS Development
Building a software product means building a business system around it too — tenancy, billing, onboarding and support tooling.
Tell us what you are trying to build
Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.