GraphQL and Its Advantages Over REST API

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Belongs to Category: Website Design|Posted by: Le Thanh Giang||13 min read
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What Is GraphQL? The Advantages of GraphQL Over REST API

What Is GraphQL?

GraphQL is a powerful and flexible API query language developed by Facebook in 2012 and open-sourced in 2015. With GraphQL, you can query data more accurately and efficiently compared to traditional APIs like REST API.

What Is GraphQL?

Unlike REST, where you have to make multiple HTTP requests to fetch data from different endpoints, GraphQL allows the client (user of the application or website) to request exactly the data it needs in a single request. This helps reduce issues like over-fetching (retrieving excessive data) and under-fetching (retrieving insufficient data), which are common in REST APIs.

With GraphQL, you can query multiple data sources from a single endpoint, rather than managing multiple URLs like in REST APIs. This saves time and bandwidth, optimizes performance, and enhances the user experience.

GraphQL is a major innovation in how APIs are developed, helping you optimize data querying and retrieval accurately without the complexities of traditional APIs.”

How GraphQL Works

GraphQL is a query language for APIs, developed by Facebook in 2012 and publicly released in 2015. It provides a flexible and efficient way for clients to request and receive data from servers. GraphQL does not use traditional HTTP methods like GET, POST, PUT, DELETE; instead, the entire interaction takes place through a single endpoint.

One of the standout features of GraphQL is its ability to allow clients to request exactly the data they need, rather than receiving all the data from the server as in REST APIs. When a client sends a query to the server, it will only receive the data it requests, saving bandwidth and optimizing performance.

For example, in a blog application, instead of making multiple requests to different endpoints to get user information and their posts, with GraphQL, you can make a single query to fetch both data types in one request.

{
  user(id: 1) {
    name
    email
  }
  posts(userId: 1) {
    title
    content
  }
}

The query above will return data as requested by the client, including the user's name and email, along with a list of their posts. GraphQL also supports operations like mutation (for modifying data) and subscription (for listening to real-time data changes).

Another strong feature of GraphQL is its schema and type system. The server defines a detailed schema about the data types clients can request, along with valid queries and operations. This helps clients easily explore the API and request data without needing to understand the server’s structure.

Comparing GraphQL and REST API

When comparing GraphQL and REST API, there are several key points you should pay attention to in order to understand the differences and choose the right approach for your project.

Structure and Data Request Methods

REST API typically organizes resources under separate endpoints. Each endpoint represents a resource, such as /users, /posts, or /comments. Clients must make multiple HTTP requests to fetch different resources or parts of data. For example, to fetch user information and their posts, the client would send a request to the /users endpoint, then another request to the /posts endpoint.

GraphQL, on the other hand, uses a single endpoint to handle all queries and data mutations. Clients can specify exactly what they need in a single query, reducing the number of requests and optimizing bandwidth.

Data Management

One of the issues with REST APIs is over-fetching (retrieving unnecessary data) or under-fetching (retrieving insufficient data). With REST, when you call an endpoint, the server returns a fixed set of data, which could be more or less than what you need. For example, when requesting a user’s information, you might receive unnecessary data, like information about their posts, even though you only need their name and email.

GraphQL solves this problem by allowing the client to request only the exact data it needs, minimizing over-fetching and under-fetching. You can specify the exact fields in the query, ensuring the server only returns the data you need.

Scalability and API Version Management

With REST APIs, when changes or new features are needed, you may have to create new versions of the API (versioning), like /v1/users, /v2/users. This can lead to managing multiple API versions, complicating the maintenance process.

GraphQL does not require API versions, as its schema can be flexibly updated. When new fields or data types are added, clients only need to update their queries, without affecting other applications using the API. This makes GraphQL easier to scale and maintain compared to REST APIs.

Overview Comparison Table

FeatureREST APIGraphQL
Structure and Data Request Methods

REST API uses multiple separate endpoints for each resource (e.g., /users, /posts, /comments).

GraphQL uses a single endpoint for all queries and data mutations.
Data Management

REST API may face over-fetching (retrieving excess data) or under-fetching (retrieving insufficient data).

GraphQL allows clients to request only the exact fields needed, reducing over-fetching and under-fetching.

Scalability and API Version Management

REST API requires managing multiple API versions (e.g., /v1, /v2), making maintenance more complex.

GraphQL does not require API versions, as the schema can change flexibly without affecting other clients.

Outstanding Features of GraphQL Compared to REST API

GraphQL offers many outstanding features compared to REST API, making application development more flexible and efficient. Below are some key features that GraphQL provides:

  1. Flexibility in Querying Data
    One of the greatest strengths of GraphQL is its ability to allow clients to request exactly what they need, rather than receiving all the data from an endpoint as in REST API. This helps reduce over-fetching (retrieving unnecessary data) and under-fetching (retrieving insufficient data), ensuring that the application only gets the necessary information.

  2. Single Endpoint Usage
    In REST API, each resource like users, posts, or comments has its own separate endpoint. This can lead to complexity in managing and maintaining multiple endpoints. With GraphQL, only one endpoint is needed for all types of requests, which reduces complexity in communication with the server.

  3. Scalability Without API Version Changes
    GraphQL does not require creating new API versions whenever data changes. With GraphQL, you can extend the schema by adding new query types without interrupting the current requests from the client. This is extremely useful in large applications, ensuring stability while continuing to develop and improve the system.

  4. Improved Performance and Reduced Number of Requests
    In REST API, to retrieve related data from multiple resources, clients must make several HTTP requests (e.g., one request to get user info, another to get that user's posts). In GraphQL, clients can perform a single query to fetch all the necessary data from multiple resources at once, reducing the number of HTTP requests and improving the application's performance.

  5. Powerful Tools for Developers
    GraphQL comes with development tools like GraphiQL (GraphQL browser) that help users easily build and test queries, as well as explore the API's schema. This makes it easier for developers to interact with and test data during development without facing difficulties when using the API.

With these outstanding features, GraphQL is gradually becoming a popular choice for building modern APIs, especially for applications that need to optimize speed and performance.

When to Use GraphQL and REST API

Although GraphQL offers many advantages over REST API, it is not always the best choice. The decision between GraphQL and REST API depends on the specific requirements of the project and the characteristics of the application. Below are some cases when GraphQL should be used and when REST API is a better option:

When to Use GraphQL?

  1. Applications Needing Data Queries from Multiple Sources
    If your application needs to query data from multiple resources or services in one go, GraphQL is the ideal choice. With the ability to make multiple queries in a single request, GraphQL helps reduce the number of requests and optimize page load speeds. For example, in applications with many related data points, like social media or e-commerce platforms, GraphQL allows easy querying of data from multiple resources (users, products, orders) all at once.

  2. Projects with Multiple Clients and Different Data Needs
    With GraphQL, each client can request exactly the data it needs, helping to save bandwidth and system resources. This is especially useful in projects with many frontend applications (e.g., website, mobile app) with different data requirements. When clients can choose the specific fields they need, minimizing over-fetching and under-fetching becomes very important.

  3. Applications Needing Easy Scalability Without Affecting Clients
    If you're building a system that might change or add new features without disrupting user activity, GraphQL is a great option. Expanding or changing the schema in GraphQL doesn't require changing the API version, which makes it easy to maintain and grow the system without impacting current clients.

When to Use REST API?

  1. Applications with Simple Architectures and Few Changes
    REST API is ideal for simple applications that don't require much flexibility in querying data. If your application has only a few resources with clear relationships and few changes, using REST API is sufficient and easier to manage. For example, simple websites, basic CRUD services, or systems that don't need complex data queries from multiple sources can easily use REST API.

  2. When API Flexibility Isn't a High Requirement
    REST API is still a good choice if your application doesn't require high flexibility in querying data. If your needs are simply to perform CRUD operations with independent resources, REST will be easier to use and implement.

  3. Systems Requiring Strict Security
    REST API can easily integrate security mechanisms like OAuth, JWT, or simple authentication methods like Basic Authentication. Implementing security in GraphQL can be more complex, especially when you need fine-grained control over which data fields clients can access. Therefore, if security is a critical factor and you only need access to limited resources, REST API might be a better choice.

Choosing between GraphQL and REST API is not always straightforward. However, understanding the advantages and use cases of each technology will help you make the right decision for your project.

The Future of GraphQL

Over the years, GraphQL has quickly gained traction and become one of the most popular technologies in the API domain. However, despite its many advantages, the future of GraphQL will still depend on various factors, including the development of competing technologies, market demand, and shifts in application architecture approaches. Below are some trends and predictions for the future of GraphQL:

Strong Growth of the GraphQL Ecosystem

One of the key factors helping GraphQL maintain and grow its future is the expanding ecosystem around it. Tools like Apollo Server, Relay, and GraphQL.js have made integrating and using GraphQL easier than ever. Additionally, the development of client-side libraries like Apollo Client and urql has optimized the process of working with GraphQL.

With a strong community and supportive tools, GraphQL will continue to thrive in large projects, especially in complex systems requiring diverse and rich data queries.

Increased Support for Diverse Platforms

GraphQL is currently gaining attention from major companies and technology platforms like GitHub, Facebook, and Shopify, all of which use GraphQL for their APIs. These services not only enhance data querying capabilities but also improve performance and user experience.

With more companies and platforms adopting GraphQL, its support for various types of applications will continue to expand. GraphQL will not only be limited to frontend projects but can also grow in backend applications, making data storage and processing systems more flexible.

Improved Security and Access Control

While GraphQL may face some security challenges, such as data leaks or excessive queries, improving security will be a crucial part of its future development. Tools and access control mechanisms will become more robust, making it easier for developers to manage and protect user data.

One issue to address is controlling access to individual fields within a schema. GraphQL will continue to evolve with more detailed security and access control mechanisms, ensuring that users can only query data they are authorized to access.

Integration with New Technologies

GraphQL is not just growing in the backend space but is also being integrated with new technologies like serverless, microservices, and edge computing. In the future, GraphQL could play a key role in connecting small, modular services and optimizing data retrieval from diverse sources, from serverless functions to distributed systems.

Integrating GraphQL with these new technologies will help increase scalability and flexibility, opening up new opportunities for developing web applications and services.

Popularity in Cross-Platform Projects

With its ability to support multiple platforms (mobile, web, desktop), GraphQL will become increasingly popular in cross-platform projects where maintaining a unified API for all devices is crucial. Companies and organizations can leverage GraphQL to minimize the need to write separate APIs for each platform while optimizing communication between clients and servers.

Overall, GraphQL has a bright future ahead and will continue to thrive in the API and web application spaces. Understanding the benefits and features of GraphQL, as well as its fit for specific projects, will help developers and businesses make the right choice for their systems. While GraphQL may not completely replace REST API in all situations, its flexibility and powerful data querying capabilities will undoubtedly make it a crucial tool in the software development world.

Conclusion

As presented, GraphQL is proving to be a powerful technology, overcoming many of the limitations that traditional APIs like REST API face. GraphQL helps optimize data queries, improve performance, reduce the number of API calls, and provide a smoother user experience. Features like on-demand data fetching, strong support for mobile applications, and flexibility in handling data will continue to drive GraphQL's growth in the future.

However, it is important for developers and businesses to understand the pros and cons of GraphQL compared to REST API in order to make the best decision for their project. While GraphQL is very powerful, it is not always the optimal choice in every scenario. For simpler applications, REST API remains a reliable and easier solution.

As GraphQL continues to evolve and become more popular, integrating it into existing or new applications will take time and effort to ensure compatibility and security. However, with the growing community, supporting tools, and security improvements, GraphQL will continue to dominate the API market in the future, becoming an essential part of modern web systems.

If you are a developer, mastering GraphQL will be a great advantage in your career as the demand for flexible, efficient APIs continues to rise.

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