GraphQL
GraphQL is a query language and runtime for APIs that enables clients to request exactly the data they need. Unlike REST APIs that return fixed data structures from specific endpoints, GraphQL allows clients to specify the shape and depth of the response in their query. This eliminates over-fetching and under-fetching of data. GraphQL provides a single endpoint, strong typing, and introspection capabilities that enable powerful developer tooling.
In Financial Services
Real-World Example
A European online bank implements a GraphQL API layer for its mobile banking app. The app's home screen needs account balances, recent transactions, card details, and investment portfolio summary. With GraphQL, a single query fetches all this data reducing mobile data transfer by 60% compared to the previous REST-based approach, and the development team adds new client features without backend endpoint changes.
Why It Matters for Finance
GraphQL addresses the inefficiency of REST APIs in financial applications where different clients need different data shapes. For financial services with mobile apps, web platforms, and internal tools accessing the same data, GraphQL provides a flexible, efficient API layer. The self-documenting nature and strong typing system improve developer productivity and reduce integration errors.
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Frequently Asked Questions
What is GraphQL in financial services?
GraphQL is a query language for APIs that lets clients request exactly the data they need. In finance, it powers mobile banking apps and portfolio analytics tools with flexible, efficient data queries.
How does GraphQL improve financial data API performance?
GraphQL eliminates over-fetching and under-fetching by letting clients specify exactly what data they need in a single request, reducing network transfer by 50-70% compared to REST.
When should financial teams use GraphQL vs REST?
Use GraphQL when clients need flexible data shapes, multiple data sources in one request, or rapid frontend iteration. Use REST for simple CRUD operations, caching-heavy workloads, or when HTTP caching is critical.