Technologies
GraphQL: the client asks, the server delivers precisely that
The API query language created by Facebook — powerful for complex data, pointless for simple CRUD.
GraphQL, created by Facebook for its own applications, inverts the logic of a classic API: instead of fixed routes returning predefined structures, the client describes exactly the data it needs and receives precisely that — not one extra field, not one extra round trip. The advantage becomes tangible in two situations: mobile applications on slow networks, where every kilobyte and every round trip counts, and products with multiple clients — web, mobile, partners — each needing different slices of the same data without the server building dedicated routes for each. We implement it in those scenarios with its full specific infrastructure: query-complexity limits, caching designed differently than REST, per-field monitoring. Our transparent position: for an ordinary API with simple operations, REST remains easier to build, secure and understand — GraphQL adopted on a fashion wave adds complexity without benefit.
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What you get
Visibly faster mobile apps
One request fetches exactly one screen's data — on slow mobile networks, the difference against ten REST calls shows directly in fluidity.
One API for every client
Web, mobile and partners each request their slice of the same data — no dedicated routes built and maintained per consumer.
A schema that documents everything
GraphQL types fully describe the available data — client developers explore and integrate without clarification meetings.
Frequently asked questions
GraphQL or REST for our project?
The right question is how many different clients consume the data and how complex their relations are: mobile plus web plus partners over rich data — GraphQL pays off; one client, simple operations — REST, no debate. We answer on your concrete architecture.
Can GraphQL coexist with our existing REST API?
Yes, that is the recommended adoption pattern: a GraphQL layer over existing REST services, used first by the application with the most to gain — usually mobile. The remaining systems continue on REST undisturbed.
What production problems are specific to GraphQL?
Two to fear without protections: deep queries — malicious or naive — that can bring a server to its knees, which we cap through complexity analysis; and classic HTTP caching no longer applying directly, which we replace with field-level caching and persisted queries.
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Let’s talk about your project
Message us on WhatsApp or send an email — you talk directly to a developer.
office@northdan.com · +40 752 070 247