3 Key Distinctions Between GraphQL and REST API

Are you curious about the potential benefits of using GraphQL instead of the more commonplace REST API? It is important to understand the differences between the two in order to determine which one is best suited for your needs. GraphQL is a query language for APIs that allows clients to make requests for specific data from the server. This makes it easier for the client to access the data they need without having to make multiple requests for different types of data. Additionally, GraphQL allows clients to make complex queries with multiple levels of nesting, making it especially useful for retrieving data from multiple sources. In contrast, REST API is an architectural style for building web services. It is more commonly used to create APIs that can be accessed over the internet. REST APIs are generally more straightforward to create and use than GraphQL. However, the downside is that the client usually needs to make multiple requests for different data since the data is organised in a linear structure. GraphQL works well with microservices, as it allows clients to make requests for specific data from any microservice they need without having to make multiple requests. This makes it easier to build efficient, flexible applications. In conclusion, GraphQL has many advantages over REST API, especially for complex queries and using microservices. It is important to consider the differences between the two when deciding which one is the best choice for your application.

This article provides information that will address these concerns. Okay, so let’s begin.

Application Programming Interfaces (APIs) are an invaluable tool that enable different software components, such as the underlying operating system, microservices, and third-party applications, to communicate and interact with each other. The four most commonly used protocols for API interaction are Simple Object Access Protocol (SOAP) APIs, WebSocket APIs, Remote Procedure Call (RPC) APIs, and Representational State Transfer (REST) APIs. By leveraging the power of APIs, organisations can build robust, efficient, and secure systems.

The Representational State Transfer (REST) architectural style is an effective approach for developing application programming interfaces (APIs). In this model, requests for data are initiated by the client and sent to the server. Responses are then communicated back to the client via the RESTful API. To achieve this, the client queries are sent as URLs, whereas the server’s responses are delivered in a textual format, as opposed to graphical.

In comparison to other API-integrated data query languages, GraphQL stands out as being both versatile and efficient. With a single API query, developers are able to access data from multiple sources using GraphQL queries. This means that developers are able to quickly and easily access the data they need in an organised and efficient manner.

Data may be retrieved using either a Rest API or GraphQL. This article will compare and contrast the two APIs so you can make an informed decision.

When asked to define REST API, what exactly does that mean?

The Representational State Transfer (REST) architectural style is a commonly employed framework for the development of web services. REST APIs provide a straightforward approach for making HTTP requests to online services. Clients may issue requests to the server by submitting a URL, which the server will then process and return the corresponding response.

An HTTP request typically consists of a combination of four components: method, endpoint, body, and header. The endpoint portion of the request contains the Uniform Resource Identifier (URI), which is used to identify the particular resource being requested. The header can contain information such as caching, authentication, and A/B testing metadata. Finally, the body of the request is used to describe the payload of the request.

In a Representational State Transfer (REST) design, communication between the client and server is conducted using the five standard HTTP verbs: GET, POST, PUT, DELETE and PATCH. These procedures are used to create, delete, read and update records stored in a database, allowing for the efficient management of data.

GraphQL: what is it?

GraphQL is an open source query language that allows for the efficient communication with application programming interfaces (APIs) for the purpose of retrieving and updating information. It is a declarative method of data manipulation and retrieval that is tailored for use with pre-existing data sources, providing a more powerful alternative to traditional Representational State Transfer (REST) API calls. By leveraging GraphQL, developers are able to optimise their API calls and gain a more granular level of control over the data they interact with.

GraphQL provides programmers with control over the format of queries used to transfer data between the server and the client. It is composed of three distinct components: a schema, resolve functions, and queries. The schema defines the structure of the data and the operations that can be performed on it. Resolve functions are responsible for handling incoming queries and retrieving the requested data from the server. Finally, queries are the requests sent from the client that allow it to retrieve the data it needs.

Data stores can utilise GraphQL schemas to define their field hierarchies and type descriptions. This schema also provides a comprehensive list of queries and changes that clients may use to facilitate data retrieval and manipulation. Furthermore, in order to successfully integrate data into a graph format, users must gain a good understanding of how to construct resolve functions and employ queries.

The main distinctions between GraphQL and REST API are as follows:

  • Compare and Contrast the Usability of GraphQL with the More Traditional Rest API. By utilising GraphQL, clients can make an inquiry to the API and acquire a precise answer without giving any extra data. As a result, GraphQL queries yield very foreseeable outcomes, improving usability. To keep things straightforward, GraphQL does not necessitate API versions, consequently streamlining the process.

    Due to the fact that the Representational State Transfer (REST) Application Programming Interface (API) leverages HTTP and Uniform Resource Identifier (URI) methods, it is not always possible to accurately anticipate the outcome of a request to a different endpoint. As REST does not require the adoption of a specific versioning protocol, service providers are given the autonomy to select the versioning system that is most appropriate for their specific needs.
  • When Comparing GraphQL with REST API, Security Is Key The RESTful Application Programming Interface (API) utilises the HyperText Transfer Protocol (HTTP) to communicate, and is secured with Transfer Layer Security (TLS) to protect the integrity and confidentiality of the information during transmission between computer systems. Furthermore, web tokens in JavaScript Object Notation (JSON) format provide additional security measures to ensure the safety of data flow across browsers.

    Unlike the REST API, security features for GraphQL are still relatively new and immature. Developers must come up with their own authorization and authentication strategies and also make use of existing GraphQL capabilities such as data validation in order to protect their system.
  • Comparison Between GraphQL with the More Common REST API for Speed By leveraging GraphQL, developers can now make a single API call and get multiple pieces of information without having to worry about under- or over-fetching of data. This is possible due to GraphQL’s flexible nature, which allows for the specification of the structure of the information request, which is then mirrored by the server response.

    REST APIs, as opposed to GraphQL, have inflexible data formats which may initially yield inaccurate results. As it requires time for queries to access the necessary data and provide pertinent information, developers commonly have to make multiple requests.

Why should one use GraphQL?

  • Queries written in GraphQL are processed within the confines of certain infrastructures.
  • Maintains consistency between API documentation and implementation.
  • Since GraphQL is statically typed, developers are spared the trouble of defining variables.
  • Focused on the hierarchy of the product and a top-down organisation structure.
  • It works well for query batching and caching.
  • Permits for quick iteration on potential software.
  • Query syntax is easy to read.
  • Works with a number of data sources.
  • Provides access to OSI model’s Application Layer capabilities.
  • Allows for legitimate schema discovery.
  • Modifications to an API over time without a formal versioning system.
  • Repeated use areas.

To what end does the REST API serve?

  • Flexibility in scaling up software.
  • Produces Explicit Instances of the Process
  • Offers consistent guidelines for project development.
  • Multiple venues for working on projects are available.
  • The client computer doesn’t need any kind of routing data.
  • Application programming interfaces that are tailored to individual users may be developed.
  • Separates the server and client components.
  • Uses a wide range of data types, including HTML, JSON, and plain text.


When it comes to developing an API product or retrieving data from various online sources, both GraphQL and Representational State Transfer (REST) Application Programming Interfaces (APIs) have their own respective benefits and drawbacks. REST APIs are highly effective in terms of securing and caching web services, while GraphQL provides a modern and efficient approach, enabling users to make just one request to receive their desired data.

When making the decision between GraphQL and the Representational State Transfer (REST) Application Program Interface (API), developers should carefully consider the requirements of the project, the breadth of the API, and any other pertinent considerations. It is important to make a well-informed decision to ensure the API is suitable for the task at hand.

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  1. Does GraphQL work well with microservices?

    Through the use of GraphQL, you may describe your data as graphs, which in turn facilitates communication between other programs.
  2. Which programming languages work well with REST API?

    For the most part, Ruby on Rails, Python, and JavaScript are used to create applications that communicate data using a REST API.
  3. How scalable is GraphQL?

    Given that its constituent parts may be treated separately, GraphQL is, indeed, scalable.

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