As a result, many people now view GraphQL as a suitable alternative to REST API.
However, what exactly made GraphQL this popular? What makes it a powerful competitor to the often used REST API?
In this article, we will be discussing GraphQl and why it’s replacing REST as the API standard in the industry.
Back in 2012, a little company called Facebook was trying to solve performance issues with their mobile applications over low network bandwidth. The standard REST API wasn’t going to cut it as they needed to reduce the amount of data moved back and forth in API calls.
As a result, Facebook created GraphQL: a query language and runtime API. GraphQL empowers the client-side alone to request as much data they need at a specific point in time.
To understand this better, let's have a look at a simple GraphQL query.
As you can see, the above query and the result have the same form. Using GraphQL queries enables the server to know what the client has asked for. It also returns only the fields specifically requested.
Here is another example of a query where a related object (previous_employers) of the object (employee) is traversed to get back information in the same request:
In addition to this, GraphQL has various other advantages, which we'll discuss further.
Read More: GraphQL - dotCMS Documentation
Take a look at the diagram below to get a better sense of the gears behind GraphQL.
The Architecture showcases how you can make ad-hoc queries to a single endpoint and access all the required data from various data sources.
Overall, GraphQL has its own type of system which can hide the complexities of third-party APIs, legacy infrastructure, complex databases, and any other type of backend data resource from the frontend apps. The API uses SDL (Schema definition language) to define schemas before queries run on its apps.
When REST API was designated as a standard, applications had to handle client to server or server to server communications between computers.
As technology has advanced, this way of computer communication has evolved drastically. mobile apps, IoT systems, and smart systems are examples of complex modern client-side systems. They communicate by using multiple resources in the backend along with numerous touchpoints to elicit a quick response.
Not only do they provide fast communication, but they are constantly changing based on the user requirements. Therefore, these systems need an API that has flexibility, efficiency, and scalability in order to be successful.
GraphQL is the best and currently the only solution that can fulfill their requirements. It offers a client-centric model for data fetching, which in turn speeds up the app.
Having REST API work on these complex client-side systems reduces the performance and increases the amount of coding needed.
GraphQL was developed to fulfill the need for more flexibility and efficiency—to ultimately excel where REST doesn’t. GraphQL solves REST’s weaknesses, especially in data fetching. In this case, you can simply send a single GraphQL query to the server with all the data requirements. The server then returns JSON with all the requirements fulfilled.
A single GraphQL operation supports a query (read), mutation (write), and the subscription to changes to data (continuous read) based on the schema. Once this operation information reaches the backend, it is interpreted against the whole GraphQL schema and fixed with the frontend data application.
For this main reason, GraphQL is now chosen over REST API for many apps.
GraphQL provides full control to the client-side to request only required fields. Its queries always return predictable results. This means that Apps using it are stable and quick. When using REST, REST API’s servers have complete control instead and often send back more than just the required fields.
GraphQL offers a single endpoint for calls to be handled between frontend and backend systems. This allows the application to run smoothly. GraphQL has its own type system, which allows you to couple the GraphQL server to servers and apps in any programming language or any type of database. In addition, with GraphQ: you can create as many new client apps as you need and make them communicate with the GraphQL server without caring about the backend servers. In the same way, you can connect as many backend servers of any form.
REST API has multiple endpoints. This means that numerous calls are made to fulfill most client requests. As a result, the application is slowed down.
You cannot achieve the speed of a single endpoint with REST API as it utilizes multiple endpoints and often additional coding efforts.
Open-source GraphQL extensions are easily available to offer features not available with REST APIs.
By leveraging your API’s type system, you can build power-packed tools like GraphiQL with GraphQL. With REST API, such additional developments require coding from scratch, wasting valuable resources.
The GraphQL API is quite supple in terms of data fields as well. You can add new fields without hindering the existing queries. Moreover, you can also hide and/or deter obsolete fields easily.
Since GraphQL uses a single evolving version of the API, it enables clean maintenance of server code and encourages access to new features without much effort. This reduces the issues caused in REST API by deprecation of calls.
To further understand the differences between them, take a look at the following table:
|What are they?||GraphQL is a new language for data query and manipulation of APIs||REST API is an architecture to provide a communication system between computers (server and client)|
|Way to design||Modern||Standard|
|Organized by||Schema and Type System||Endpoints|
|Data Fetching||Only specific data required by client fetched in single API call||Data is over fetched or under fetched with multiple API calls|
|Performance||Fast||Slow comparatively due to multiple calls|
|Complexity in Learning||Slightly Difficult||Easy|
|Caching||Via libraries (built on the top)||Automatic|
|Community||Growing day by day||Large|
|Best Use Cases||Multiple Microservice like IoT devices, Smartwatches and Mobile apps||Resource driven apps, Simple apps|
In fact, you can begin learning with online courses. One example is Github. They have courses that provide hands-on experience with GraphQL.
Another option to learn the basics is the GraphQL foundation. They provide online training courses like Github does, as well as having dozens of helpful videos and blog posts. Unlike Github, the GraphQL foundation is cemented in the community. They have several live discussion and vendor channels that allow you to receive help quickly and accurately.
dotCMS is an easy way to gain support for your GraphQL APIs. dotCMS supports GraphQL in two primary ways:
dotCMS has tools that specifically help your graphql work better and be easier to use.
dotCMS has a reputation for being a high-performance platform and during the go-live of a food & beverage chain in the US, we introduced a native caching layer specifically for GraphQL API calls, where average response times of GraphQL queries were dramatically reduced from 58 ms to under 4ms. Needless to say, if you have around 3 million visits per day, this will have an immediate impact on your underlying platform and infrastructure resources.
dotCMS delivered a native built-in GraphQL Playground in release 21.05.1, which is a graphical, interactive in-browser GraphQL IDE that drives developer agility when building apps with dotCMS.
In future releases, we’ll be exploring ways in which you can use dotCMS’s GraphQL support to perform ‘mutations.’ This will allow you to modify, update, and delete content with GraphQL query requests.
In addition, dotCMS plans to align the GraphQL APIs with the REST APIs and make sure that everything that can be done with REST, can also be done with GraphQL, and more. Building your next Digital Experience Platform with dotCMS will not be restricted in any way as we continue to support both flavors.
We’re excited that we embarked on the GraphQL journey and will continue to expand the GraphQL APIs and tooling for developers to make composable Digital Experiences Platforms (DXP) with the speed of light.
This video explains more about how to use GraphQL on dotCMS: Build and deploy your #Jamstack with #dotCMS, #NextJS and #GraphQL
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