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When I Googled “what is GraphQL” to learn more about the network protocols, all I saw was a comparison between REST and GraphQL. Most of the conclusions said, “use GraphQL.” It felt very binary (and trendy, for that matter), which is a problem because each product and use case is unique. The fact is, whatever is newest and shiniest gets recommended more loudly. But you have to weigh the trade-offs and come up with a solution that is best for your situation.
There is a general understanding that either REST is better than GraphQL or vice versa. But the truth is they both address different problems and have different strengths and weaknesses. The question isn’t necessarily which one is better to use, but which one is better to use for specific circumstances. The best way to evaluate GraphQL, REST, or any other technology is to figure out your constraints based on the problem you are going to solve.
Hasura GraphQL Engine launched as an open-source product in July 2018. Since then, Hasura has been downloaded over 200M times and has become the fastest-growing open-source GraphQL project globally.
Hasura accelerates API development by 10x by giving you GraphQL or REST APIs with built-in authorization on your data, instantly. In this blog post, we’re going to look at how Hasura works, what we thought about when building Hasura, and the problems we were trying to solve.
Since its release in 2015, GraphQL has become the alternative to REST. It gives frontend developers the flexibility they had craved for for so long.
Over are the days of begging backend developers for one-purpose-endpoints. Now a query can define all the data that is needed and request it in one go, cutting latency down considerably.
To begin with, this an example primarily written in Springboot to leverage the benefits of Spring Data JPA. The main motive of this article to have a simple and common data search logic that applies to almost every table and is client-oriented. This article is heavily inspired by one from Eugen Paraschiv, I recommend going through his tutorials to learn Spring professionally.
I used Spring Initializer to add all the dependencies and create a blank working project with all my configurations. I used Maven as project build type and Java 8 as language, though this part is up to your choice as long as it is supported by spring. Below are my required dependencies which can easily be added from spring initializer.
When discussing API design, REST or Representational State Transfer is what comes to mind first. It is a standard tool used for data retrieval from the server that accesses data by URLs.
Client applications whilst progressing into the new millennium was relatively simple. That is when REST had been developed and it became a good fit for many applications in due course of time.
With the release of dotCMS 5.1, our enterprise Java CMS now natively supports GraphQL. In this article, I’ll walk you through the basics of GraphQL as an API and query language, how it differs from REST, and how dotCMS and GraphQL come together to streamline headless content management.
You might also like: My GraphQL Thoughts After Almost Two Years
GraphQL is an open-source data query language for APIs. It enables users to specify exactly what data they would like to retrieve from the server. Developed by Facebook in 2012, GraphQL became open-sourced in 2015. It is used internally for mobile applications, and it is widely seen as an alternative to the REST (Representational State Transfer) architecture.