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GraphQL vs GraphiQL: What are the differences?

Introduction

GraphQL and GraphiQL are both tools in the field of web development, but they serve different purposes. GraphQL is a query language and runtime for APIs, while GraphiQL is an integrated development environment (IDE) for exploring and querying GraphQL APIs. Despite their similarities, there are several key differences between these two tools.

  1. Flexibility of Queries: One of the key differences between GraphQL and GraphiQL is in how queries are built. GraphQL provides a flexible way of defining the shape of the data you want to retrieve from an API, allowing you to specify exactly what fields you need and their relationships. On the other hand, GraphiQL is an interface that allows you to construct and execute GraphQL queries using an interactive editor, making it easier to explore and test your queries.

  2. Client-Side vs Server-Side: Another difference lies in their placement within the web development process. GraphQL is typically used on the server-side of an application, where it acts as a layer between the client and the data sources. It handles the incoming queries, resolves the requested data from multiple sources, and returns the results to the client. In contrast, GraphiQL is a client-side tool that helps front-end developers to interact with GraphQL APIs during the development phase. It allows developers to explore the schema, document queries, and visualize the results.

  3. Introspection vs Interactive: GraphQL supports introspection, which means that API schemas can be queried to get information about the available types, fields, and relationships. This allows clients to understand the API capabilities without relying on external documentation. GraphiQL leverages this introspection feature by providing an interactive graphical interface. It automatically generates documentation based on the API schema and allows users to explore and interact with the available fields and their relationships.

  4. Ease of Use: GraphQL is a powerful but more complex tool that requires setting up and maintaining a server-side implementation. It involves defining a schema, writing resolvers, and handling the data fetching from various sources. On the other hand, GraphiQL is designed to simplify the process of working with GraphQL APIs by providing an intuitive interface with features like auto-completion, syntax highlighting, and error handling. This makes it easier for developers to write and test queries without the need for additional tools or knowledge of GraphQL implementation.

  5. Enhanced Developer Workflow: GraphiQL offers additional features that cater to developers' needs during the development process. It includes functionalities like query history, automatic documentation generation, and performance testing, which can improve developer productivity and efficiency. These features allow developers to track and revisit their previous queries, better understand the API, and identify and resolve performance bottlenecks.

  6. Deployment Considerations: GraphQL can be deployed as a standalone server or integrated into existing server-side frameworks like Express or Node.js. This gives developers the flexibility to choose the deployment option that best suits their needs and infrastructure. GraphiQL, on the other hand, is typically used during development and testing stages and is not meant to be deployed in production environments. It is a tool aimed at facilitating development and should not be exposed publicly or used in a production environment due to security and performance considerations.

In summary, GraphQL is a query language for APIs that provides flexibility in defining queries and acts as a server-side layer for handling client requests. GraphiQL, on the other hand, is an IDE that helps front-end developers interact with GraphQL APIs during development, providing an interactive editing and testing environment.

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Pros of GraphiQL
Pros of GraphQL
  • 5
    Install by npm
  • 5
    In-browser IDE
  • 1
    Graphql
  • 1
    Editor Theme
  • 75
    Schemas defined by the requests made by the user
  • 63
    Will replace RESTful interfaces
  • 62
    The future of API's
  • 49
    The future of databases
  • 13
    Self-documenting
  • 12
    Get many resources in a single request
  • 6
    Query Language
  • 6
    Ask for what you need, get exactly that
  • 3
    Fetch different resources in one request
  • 3
    Type system
  • 3
    Evolve your API without versions
  • 2
    Ease of client creation
  • 2
    GraphiQL
  • 2
    Easy setup
  • 1
    "Open" document
  • 1
    Fast prototyping
  • 1
    Supports subscription
  • 1
    Standard
  • 1
    Good for apps that query at build time. (SSR/Gatsby)
  • 1
    1. Describe your data
  • 1
    Better versioning
  • 1
    Backed by Facebook
  • 1
    Easy to learn

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Cons of GraphiQL
Cons of GraphQL
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    • 4
      Hard to migrate from GraphQL to another technology
    • 4
      More code to type.
    • 2
      Takes longer to build compared to schemaless.
    • 1
      No support for caching
    • 1
      All the pros sound like NFT pitches
    • 1
      No support for streaming
    • 1
      Works just like any other API at runtime
    • 1
      N+1 fetch problem
    • 1
      No built in security

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    - No public GitHub repository available -

    What is GraphiQL?

    An in-browser IDE for exploring GraphQL.

    What is GraphQL?

    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

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    What companies use GraphiQL?
    What companies use GraphQL?
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    What tools integrate with GraphiQL?
    What tools integrate with GraphQL?

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    What are some alternatives to GraphiQL and GraphQL?
    Apollo
    Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
    Postman
    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
    REST
    An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    See all alternatives