Pros and Cons of Magento 2 GraphQL

Pros and Cons of Magento 2 GraphQL

Want to streamline your Magento 2 store's data interaction? Explore the benefits of Magento 2 GraphQL for efficient querying and manipulation. In this article, we will explore the pros and cons of Magento 2 GraphQL to make an informed decision.

Key Takeaways

  • Explore the benefits of Magento 2 GraphQL for efficient querying and manipulation of store data.

  • Learn about the key features of Magento 2 GraphQL, including schema definition.

  • Discover the differences between Magento 2 GraphQL, REST API, and SOAP API.

  • Differentiate between Magento 2 GraphQL and Altair GraphQL, understanding their purposes and platforms.

  • Understand the pros and cons of Magento 2 GraphQL, including efficient data fetching and the learning curve.

What is Magento 2 GraphQL?

Magento 2 GraphQL is a data query API (Application Programming Interface) protocol.

It allows you to interact with Magento open-source data more efficiently and flexibly than traditional REST APIs. GraphQL was released in 2015 by Facebook and offers a more intuitive way to query and manipulate data.

With Magento 2 GraphQL, you can construct queries to retrieve only the data you need. It reduces the over-fetching and under-fetching of data that often occurs with REST APIs. It can lead to faster and more efficient data fetching. This is especially meant for mobile applications that require network bandwidth and performance.

Magento GraphQL provides a schema. The schema defines the available data types and operations that can be performed. Developers can use GraphQL schema to construct queries and mutations. It helps read and write data from and to the Magento 2 store.

How Magento 2 GraphQL Works

1. Schema Definition

Magento 2 GraphQL defines a schema. It outlines the available types of data and operations that can be performed. The schema is introspectable. It means that clients can query it to understand:

  • What data can be requested?

  • What operations can be performed?

2. Querying Data

Clients construct GraphQL queries to request specific data from the Magento 2 store. These queries are structured hierarchically. It specifies the exact fields and relationships of the data needed.

In REST APIs, multiple endpoints might be required to fetch related data. GraphQL endpoint allows clients to retrieve all necessary data in a single request.

3. Execution

When the Magento 2 server receives a GraphQL query, it is:

  • Parsed

  • Validated against the schema

  • Executed.

The resolver functions defined in the schema determine how to fetch the requested data from the underlying data sources. It could include the Magento 2 database or other external systems.

4. Data Retrieval

Resolvers fetch the requested data. It performs any necessary data transformations or processing. They then return the requested data to the GraphQL runtime.

5. Response

Once all the requested data has been retrieved, the GraphQL server assembles the data into a JSON response and sends it back to the client. The response structure mirrors the structure of the original GraphQL data query language. It provides the requested data in the exact format requested by the client.

6. Mutations

In addition to querying data, Magento 2 GraphQL also supports mutations. These are operations for:

  • Creating

  • Updating

  • Deleting data.

Mutations are similar to queries but are used to modify data on the server. Clients can construct mutation requests to perform actions like:

How Magento 2 GraphQL Differs from Rest and Soap API

Feature Magento 2 GraphQL REST API SOAP API
Query Language GraphQL provides a flexible and intuitive query language. It allows clients to request exactly the data they need. REST APIs typically use HTTP methods (GET, POST, PUT, DELETE) to perform CRUD operations on resources. The query parameters are used to specify filtering, sorting, and pagination. SOAP APIs use XML-based messages to define the operations and data being exchanged between the client and server.
Efficiency It can be more efficient for mobile applications and scenarios with limited bandwidth. It reduces over-fetching and under-fetching of data. The efficiency of REST APIs depends on the design of the endpoints. Well-designed REST APIs can be efficient, but they may suffer from over-fetching or under-fetching. SOAP APIs are generally less efficient due to the repetition of XML and the overhead of parsing SOAP messages. They may require larger payloads and more network bandwidth.
Schema It has a strongly typed schema that defines the available types of data and operations. Clients can introspect the schema to understand what data can be requested. They do not have a standardized schema. Instead, they rely on documentation to describe the available resources, endpoints, request/response formats, and supported operations. SOAP APIs also do not have a standardized schema. A WSDL file describes the operations and data. It specifies the methods, parameters, and data types supported by the API.
Mutations It supports mutations, which are operations for creating, updating, and deleting data on the server. Mutations allow clients to modify data consistently and predictably. REST APIs typically support CRUD operations (Create, Read, Update, Delete) for resources. Clients use different HTTP methods (POST, GET, PUT, DELETE) to perform these operations. SOAP APIs also support CRUD operations. They are defined as methods in the WSDL file. Clients send SOAP messages to invoke these methods and pass parameters.
Protocol N/A REST APIs use the HTTP(S) protocol for communication. They leverage standard HTTP methods and status codes to define the semantics of the operations. SOAP APIs use the SOAP protocol for communication. SOAP messages are typically transported over HTTP(S). They can also be transported over SMTP or JMS.
Complexity GraphQL is straightforward to understand. It provides a unified interface for querying and mutating data, making it suitable for a wide range of use cases. REST APIs can vary in complexity. It depends on the design of the endpoints and the level of documentation provided. They may require clients to handle different endpoints. SOAP APIs tend to be more complex due to the verbosity of XML and the strictness of the SOAP protocol. Clients may need to generate XML payloads and parse SOAP messages.

Difference Between Magento 2 GraphQL and Altair GraphQL

Feature Magento 2 GraphQL Altair GraphQL
Purpose It is an integrated feature within the Magento 2 platform. It allows users to query and mutate Magento 2 store data. It is a popular GraphQL IDE (Integrated Development Environment). It serves as a web-based client for testing, exploring, and interacting with GraphQL APIs.
Platform It is specifically tailored for the Magento 2 e-commerce platform. Platform-agnostic, it can be used with any GraphQL server or API.
Functionality It enables querying and mutating Magento 2 data and functionality. It allows users to send queries, mutate, and explore schemas of any GraphQL API.
Use Cases It is used to build custom storefronts. It integrates well with third-party systems, extending Magento's functionality. It is used for testing and debugging GraphQL APIs and exploring GraphQL schemas.
Interface It can be integrated into the Magento 2 backend. It is often accessed via HTTP requests or client-side libraries. It is web-based and can be accessed via different browsers.
Features It offers several features, including Magento-specific schema and authentication using OAuth tokens. It is tailored for e-commerce needs. It offers support for batching queries and mutations. It offers several features, including query visualization and saving queries and responses. The environment variables of Altair GraphQL offer support for different environments.

Pros of Magento 2 GraphQL

Pros of Magento 2 GraphQL

1. Efficient Data Fetching

GraphQL allows clients to request only the specific data they need. It reduces over-fetching and under-fetching of data. It can lead to more efficient data retrieval. It is especially useful for mobile applications or scenarios with limited bandwidth.

2. Flexible Query Language

GraphQL provides a flexible and intuitive query language. It allows clients to construct complex queries to retrieve data hierarchically. The flexibility makes it easier to tailor data requests to the specific needs of the client application.

3. Improved Performance

It reduces the amount of data transferred over the network. It can improve the performance of client applications. Clients can request only the data they need. The result is smaller response payloads and faster data retrieval times.

4. Unified Interface for Data Retrieval and Manipulation

GraphQL provides a unified interface for querying and mutating data. Clients can use the same endpoint to:

  • Retrieve data

  • Create, update, and delete operations.

It simplifies the API surface and reduces development overhead.

5. Strongly-Typed Schema

GraphQL uses a strongly typed schema to define the available types of data and operations. The schema serves as a contract between the client and the server. It enables clients to introspect the schema and understand what data can be requested. It also helps understand how it should be structured.

6. Real-Time Data Updates

GraphQL supports subscriptions. It allows clients to subscribe to real-time updates from the server. It enables features such as:

It enhances the user experience of Magento 2 stores.

7. Scalability and Future-Proofing

GraphQL has gained popularity and become a standard in API development. Adopting it for Magento 2 stores ensures compatibility with emerging technologies and platforms. The scalability and future-proofing capability enable businesses to stay ahead of the curve. It also helps them adapt to evolving customer needs and market trends.

Cons of Magento 2 Graphql

Cons of Magento 2 Graphql

1. Learning Curve

GraphQL introduces a new query language and concepts that developers may need to learn. It can involve a learning curve. It is especially true for developers who are:

  • Unfamiliar with GraphQL

  • Have experience primarily with RESTful APIs.

2. Server Complexity

Implementing a GraphQL server can be more complex than implementing a traditional REST API. Developers need to define resolvers to fetch data for each GraphQL query. It can require additional effort and expertise.

3. Caching Challenges

GraphQL responses can be more difficult to cache than RESTful API responses. This is particularly true when dealing with complex queries or real-time data. It can impact caching strategies and performance optimizations.

4. Potential Over-fetching

Meanwhile, GraphQL aims to reduce data overfetching. Poorly designed queries or inefficient resolvers can still result in over-fetching. Developers need to optimize queries and resolvers carefully to ensure efficient data retrieval.

5. Tooling and Ecosystem

While GraphQL has a growing ecosystem of tools and libraries. It may have a different level of maturity or support than more established technologies like RESTful APIs. Developers may encounter limitations or gaps in tooling when working with GraphQL.


1. What is the Magento 2 GraphQL module?

The Magento 2 GraphQL module allows developers to interact with the Magento 2 backend. They interact through GraphQL queries and mutations. It provides a more efficient and flexible alternative to traditional REST APIs.

2. How can I access GraphiQL for Magento 2 GraphQL?

You can access GraphiQL by appending /graphql to your store's URL in the browser's address bar. If your Magento 2 store is hosted at, you can access the Graphql endpoint by entering in the URL bar of your ide, preferably Chrome.

3. Is there any IDE or extension that facilitates GraphQL in Magento 2 development?

There are several IDEs and browser extensions available to streamline Magento 2 GraphQL development. Extensions like GraphQL Playground for Chrome offer an environment for testing and debugging GraphQL queries and mutations directly within the browser.



Magento 2 GraphQL helps interact with stored data more efficiently than traditional REST APIs. It also uncovers several other points, including:

  • Key features of Magento 2 GraphQL include a schema defining available data types and operations.

  • The process involves constructing queries and executing them against the schema and JSON response.

  • Compared to REST and SOAP APIs, Magento 2 GraphQL provides a more flexible query language.

  • The benefits of Magento 2 GraphQL include efficient data fetching and a flexible query language.

Ready to boost your Magento 2 store with lightning-fast data interaction? Upgrade to managed Magento hosting and leverage the power of Magento 2 GraphQL.

Ruby Agarwal
Ruby Agarwal
Technical Writer

Ruby is an experienced technical writer sharing well-researched Magento hosting insights. She likes to combine unique technical and marketing knowledge in her content.

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