What GraphQL means
GraphQL is a query language for APIs, plus the server-side runtime that answers those queries. Instead of calling many fixed endpoints, a client sends one request describing exactly which fields it wants, and the server returns precisely that data in one response. It was created at Facebook and is now an open standard used widely across web and mobile apps.
The defining idea is that the client decides the shape of the response. With a traditional REST API, each endpoint returns a fixed structure, so you often fetch too much or have to call several endpoints to assemble one screen. With GraphQL you ask for a user's name, their last three orders, and each order's total in a single query, and you get back just those fields, nested the way you asked.
In plain words
Think of REST as a restaurant with fixed set menus: you order menu number 3 and get whatever comes with it, even the side you did not want. GraphQL is à la carte. You tell the kitchen exactly which dishes you want on one order, and that is precisely what arrives. One trip to the kitchen, no extra plates, nothing missing.
When to use it
- Many different clients, one backend. A web app, an iOS app, and a smartwatch each need different data shapes. GraphQL lets each ask for only what it needs without new endpoints.
- Complex, connected data. When a screen pulls together users, orders, products, and reviews, fetching it all in one typed query is cleaner than chaining REST calls.
- Fast-moving frontends. Frontend teams can change what they request without waiting on backend changes, as long as the data exists in the schema.
Common pitfalls
- Expensive, nested queries. Because clients control the query, a single deep request can hammer your database. Add query cost limits, depth limits, and timeouts.
- The N+1 problem. A naive resolver fetches related records one by one. Use batching tools like DataLoader to avoid hundreds of hidden queries.
- Caching is harder. REST leans on simple URL-based HTTP caching. GraphQL usually sends everything to one endpoint, so you need client-side or application-level caching instead.
- Overkill for simple APIs. If you have one client and a handful of stable endpoints, REST is simpler and GraphQL adds machinery you do not need.
Related articles:
- What is an API? - The broader concept GraphQL is one approach to.
- How to improve API adoption with the OpenAPI Specification - The REST-world counterpart for describing and adopting APIs.
- What is an API key? - How requests, including GraphQL ones, get authenticated.
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