App development should be fun; an activity where developers can flex their creative muscles and build something that's exactly as they envisioned it. Unfortunately, backend development can be an inherently complicated process, and it can slow down and hinder the development process to an exhausting degree.
If you're using GraphQL to build your app, this is especially the case. You're likely running into situations where your hosted backend is built on top of other databases. This no longer has to be the case. If you're looking for a hosted GraphQL backend, your best bet is to utilize a native one, meaning you no longer have to deal with these underlying databases.
It provides the easiest, most streamlined development experience possible. You only need to know GraphQL to build your app. You don't need to know anything else. Having the ability to go from GraphQL schema to production in one step is extremely invaluable.
It will enable speed, iteration and evolution for your GraphQL apps. Your messy codebases will become lean and clean. No longer will developers have to think about how other underlying databases work with GraphQL and how to scale it. Simply put, they are the most advanced backends available for developers to utilize.
Developers using GraphQL shouldn't be worried about creating an entirely new system. Instead, they should be busy creating the next great app. A native hosted GraphQL backend allows for just that. It gives your users the best possible experience by making your app fast, scalable, and much more.
Anyone in the GraphQL development community will automatically be able to see the benefits of a native backend and how it's going to change the way they build their apps. They'll no longer have to worry about building their own backend, how their app will scale, and all of the other headaches that come with dealing with a non-native backend. Native backends will truly change the game for the GraphQL development community.
Eldon Broady writes about database technologies, graph database, and modern API tools. You can find his thoughts at database solutions blog. If you have a question like "when to use a graph database", Visit this website.