Single endpoint to rule them all

Based on a powerful idea, a query language moves the assembly of a request from the server to the client. You can see the overall strongly-typed schema instead of multiple REST endpoints and build the queries you need. You have the ability to dictate exactly what you need from the server and receive data in a predictable way.

Encapsulate multiple data sources

Use a modern way to build and query APIs. GraphQL can greatly simplify data needs for both client product developers and server-side engineers, regardless of what languages you're using in either environment. GraphQL makes orchestrating data fetching so much simpler, and it pretty much functions as a perfect isolation point between the front end and the back end.

Implementation Strategy
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Step #1
Define which field is required and which is optional. Build a schema for your data model.
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Step #2
Create flexible APIs and enable rich capabilities for how to query the data. Only receive the data you explicitly request and retrieve multiple resources in a single request as needed.
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Step #3
Testing & support
The excellence of the end-result is provided through rigorous testing. Full support for products, with signed SLAs and immediate response times, is also available if needed.

Query, mutation or subscription

The GraphQL server defines a schema containing all the data types, mutations, and queries available to the clients. This way everybody knows where they stand. You can immediately see exactly which operations are available to you. Which types they accept as inputs and which types they return as an output. Well-architected API interfaces follow the best possible security and development practices as well as a comprehensive analysis of database requirements to accommodate performance and future scaling.


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