A data language for a full-stack world

How GraphQL offers a new way of building APIs

Sponsored Post Today's full-stack developers enjoy all the tools and frameworks they need to build the kind of complex applications that drive a modern, digitally enabled business. They can bring the end result into service much quicker and with a smaller headcount of experts than ever their predecessors could manage.

The API is critical to this endeavour, as ever the glue that holds together the digital economy. That's why GraphQL is fast emerging as such an important language for defining and querying data. It is designed to reduce the probability of errors in the transaction between the application, the API, and the database, offering a new approach to building APIs that lets the developer specify what data is available to them. It helps to unify disparate systems and focuses API interactions on relationships between datasets instead of resources. And it offers the sort of streamlining that cuts the number of requests to a database, thus increasing the performance of the resulting application.

With developers increasingly wanting to deploy databases through the cloud, they are drawn to GraphQL and the low-code setup required to spin up an API to connect applications and the data they need to run. This fits with the consumer shift towards deferring the management of backend infrastructures to cloud services.

But of course, developers can't do the job of building these complex applications unless they know how all the different bits of the stack fit together. What they need is a clear guide to building full-stack GraphQL applications with graph databases that lets them see the big picture. With this new e-book from Neo4j – Full Stack GraphQL Applications - they have just that.

Neo4j is well qualified to help here. It offers a GraphQL API library, useful since GraphQL can be mapped neatly onto a graph database. Neo4j works with any JavaScript GraphQL implementation, so there's no requirement to learn a new language. It handles generating database queries from arbitrary GraphQL requests at query time.

If you think you'd like to find out more about this e-book and transform your approach to full stack development, click this link to read it.

Sponsored by Neo4j.

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