GraphQL provides an alternative approach to API design where clients describe the structure of the data they need.
Instead of requesting a fixed REST response, a client sends a query describing the required fields.
A GraphQL query can request only the fields needed by the interface.
This can reduce over-fetching.
For example, a project card may only require:
The API can return exactly those fields.
GraphQL APIs are strongly typed through a schema.
The schema describes available types, fields, relationships, queries, and mutations.
This allows development tools to provide autocomplete and validation.
Changes to data are usually represented through mutations.
A mutation can create, update, or delete a resource.
This makes the API contract explicit.
Fragments allow reusable field selections.
A frontend application can define a project-card fragment and reuse it across multiple queries.
This reduces duplication and keeps related data requirements together.
Apollo Client provides caching and state management capabilities for GraphQL applications.
It can maintain normalized entities so that updates to one object can be reflected in multiple parts of the interface.
GraphQL is not automatically better than REST.
It introduces additional complexity around:
A simple CRUD application may be easier to build and operate with REST.
GraphQL becomes particularly useful when clients have different data requirements or when deeply related resources need to be queried efficiently.
The correct choice depends on the application's architecture rather than popularity.