GraphQL vs Rest APIs – Differences | Example | Uses

  • Written By The IoT Academy 

  • Published on November 21st, 2024

In today’s digital world, APIs play a crucial role in enabling communication between software systems. Among the most popular approaches for building APIs are GraphQL vs Rest APIs, each with unique strengths and use cases. REST APIs are widely known for their simplicity and ease of use, making them ideal for standard data-handling tasks. In contrast, GraphQL, developed by Facebook, provides a more flexible and efficient way to retrieve data by allowing clients to request precisely what they need. This blog will explore the key differences between Rest API vs GraphQL, their applications, advantages, and disadvantages, to help you choose the best option for your project.

Introduction to REST API and GraphQL

REST API (Representational State Transfer Application Programming Interface) is a way for different computer systems to communicate with each other over the Internet. It uses standard web protocols, mainly HTTP, and allows clients to perform actions like getting, posting, and updating. As well as deleting data through specific web addresses called URIs (Uniform Resource Identifiers). REST APIs focus on resources, which are pieces of data that clients can interact with using clear and simple endpoints. However, a common problem is that clients might get too much or too little data in one request.

On the other hand, GraphQL is a tool developed by Facebook that helps clients ask for exactly the data they need in a single request. Instead of having multiple web addresses for different data, GraphQL uses one main endpoint. Clients can write queries to specify the exact information they want, which helps avoid getting unnecessary data. This makes GraphQL especially useful for complex data structures. It also has a strong structure that helps with checking data and keeping it organized. But it can be a bit harder to learn than REST. In summary, both GraphQL vs Rest APIs are different ways to design APIs, each with its own strengths and ideal uses.

Difference Between Rest and GraphQL

They both are approaches to building APIs, but they have distinct characteristics and use cases. Here are the key differences between GraphQL vs Rest APIs:

1. Data Retrieval

  • REST: Uses multiple endpoints for different resources (e.g., /users, /posts). You might need several requests to get related data.
  • GraphQL: Has a single endpoint where you can request exactly what data you need, reducing the number of requests.

2. Data Format

  • REST: Usually returns data in JSON or XML with a fixed structure.
  • GraphQL: You can define the exact shape of the response you want, making it more flexible.

3. Versioning in GraphQL vs Rest APIs

  • REST: Often requires versioning (like /v1/) when changes are made.
  • GraphQL: Avoids versioning by allowing clients to request the fields they need, so it can evolve without breaking.

4. Over-fetching and Under-fetching

  • REST: May give you too much data (over-fetching) or not enough (under-fetching), requiring extra requests.
  • GraphQL: You can avoid both by asking for only what you need.

5. Error Handling

  • REST: Uses standard HTTP status codes (e.g., 200 for success, 404 for not found) to show errors.
  • GraphQL: Returns data and errors in the same response, even if some data couldn’t be fetched.

6. Caching in GraphQL API vs Rest API

  • REST: Simple caching based on URL and HTTP methods.
  • GraphQL: More complex caching since everything goes through one endpoint; may need custom solutions.

7. Tools and Ecosystem

  • REST: Lots of libraries and tools available for building and using APIs.
  • GraphQL: A growing number of tools (like Apollo and Relay), but still developing compared to REST.

8. Use Cases

  • REST: Great for standard operations (CRUD) and simpler data retrieval.
  • GraphQL: Better for complex applications where you need flexible data requests, like mobile apps or microservices.

In short, REST is simpler and well-established, while GraphQL offers flexibility and efficiency in data retrieval, making it more suitable for complex scenarios. The best choice between GraphQL vs Rest APIs depends on your project needs.

Use of GraphQL

GraphQL is ideal for applications where clients need flexibility in data requests, especially in scenarios where data needs often change. Here are some common uses of GraphQL:

Use Case Description

Mobile Applications

Efficient data retrieval for varying network conditions

Microservices Architecture

Enables different microservices to communicate effectively

Real-time Applications

Supports subscriptions for real-time data updates

Complex Data Relationships

Handles complex queries efficiently by allowing nested data retrieval


Use of REST API

REST APIs are widely used in traditional web services and are suitable for applications that require a straightforward approach. Here are some common uses of REST APIs:

Use Case Description

Public APIs

Simple APIs for public consumption

CRUD Operations

Basic operations on data resources

Third-party Integrations

Integration with other web services

Legacy Systems

Many existing systems are built on REST


GraphQL vs Rest API Pros Cons

When choosing between GraphQL vs Rest APIs, it is essential to consider the specific needs of your application. So, here are some of the advantages as well as disadvantages of both:

GraphQL Pros

  • Efficient Data Fetching: Reduces the number of requests by fetching all necessary data in one go.
  • Strong Type System: Improves documentation and error handling.
  • Client-Driven Queries: Clients can request only what they need.

GraphQL Cons

  • Steeper Learning Curve: More complex than REST, requiring a deeper understanding of queries and schemas.
  • Caching Difficulties: More challenging to implement caching strategies compared to REST.

REST API Pros

  • Simplicity: Easier for developers to understand and implement.
  • Widespread Adoption: A large community and many resources available for learning.
  • Standardized: Follows standard HTTP methods, making it intuitive.

REST API Cons

  • Over-fetching/Under-fetching: In the realm of GraphQL vs Rest APIs, in ResT API clients may receive unnecessary data or miss out on required data.
  • Versioning Challenges: Making changes may require creating new versions of the API.

GraphQL Examples

Here are some examples of GraphQL queries, mutations, and subscriptions to help you get started with GraphQL.

Example 1: Fetching Data

With GraphQL, you can query specific fields. For example, to fetch a user’s name and email:

{

  user(id: “1”) {

    name

    email

  }

}


Example 2: Mutations

To update a user’s information, you can use mutations:

mutation {

  updateUser(id: “1”, name: “New Name”) {

    name

    email

  }

}


REST API Examples

Here are some examples of REST API requests, covering the basic operations along with typical response structures:

Example 1: Fetching Data

To fetch a user’s information in REST, you typically send a GET request to a specific endpoint:

GET /users/1


Example 2: Updating Data

To update a user’s information, you would send a PUT request:

PUT /users/1

{

  “name”: “New Name”

}


GraphQL Alternatives

Several alternatives to GraphQL are used to build APIs with different strengths and design philosophies. Here’s an overview of some of the most prominent ones:

Alternative Description

Apollo

A comprehensive state management library for GraphQL

Relay

A JavaScript framework for building data-driven React applications

Hasura

A platform that provides instant GraphQL APIs over new or existing Postgres databases


REST API Alternatives

There are several alternatives to REST APIs that offer different approaches to designing and interacting with APIs. These alternatives address some of the limitations of REST, such as performance, flexibility, and efficiency. Here are some popular alternatives:

Alternative Description

gRPC

A high-performance RPC framework using HTTP/2

SOAP

A protocol for exchanging structured information

JSON-RPC

A remote procedure call protocol encoded in JSON


GraphQL vs REST API Which is Better?

Choosing between GraphQL vs Rest APIs depends on your specific use case. Here are some scenarios where one might be more suitable than the other:

Use GraphQL When

  • Your application requires flexibility in data retrieval.
  • You want to minimize the number of network requests.
  • You are working with complex data structures.

Use REST When

  • You need a straightforward and widely understood approach.
  • Your API is relatively simple and does not require complex queries.
  • You are working with existing systems built on REST.

Conclusion

In conclusion, both GraphQL vs Rest APIs are good ways to build APIs, but which one is better depends on what your application needs. REST is simpler and widely used, making it great for basic tasks like public APIs, CRUD operations, and older systems. On the other hand, GraphQL is better when you need flexibility and fast data retrieval. As well as it can handle complex queries. This makes it very useful for mobile apps, microservices, and real-time updates. While GraphQL gives you more control and helps avoid getting too much data, it can be harder to learn. By looking at the strengths and weaknesses of each, developers can choose the API from Rest vs GraphQL that fits their project best.

Frequently Asked Questions (FAQs)
Q. Is GraphQL Better than REST API?

Ans. The choice between GraphQL and REST depends on what your application needs. GraphQL is best for flexibility and efficiency, while REST APIs are better for simpler tasks.

Q. Can GraphQL Replace REST API?

Ans. While GraphQL can serve many of the same functions as REST APIs, it does not necessarily replace REST. Each has its strengths, and the choice should be based on specific use cases.

About The Author:

The IoT Academy as a reputed ed-tech training institute is imparting online / Offline training in emerging technologies such as Data Science, Machine Learning, IoT, Deep Learning, and more. We believe in making revolutionary attempt in changing the course of making online education accessible and dynamic.

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