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  1. Stackups
  2. Application & Data
  3. Languages
  4. Query Languages
  5. GraphQL vs GraphiQL

GraphQL vs GraphiQL

OverviewComparisonAlternatives

Overview

GraphQL
GraphQL
Stacks34.9K
Followers28.1K
Votes309
GraphiQL
GraphiQL
Stacks234
Followers151
Votes12
GitHub Stars16.7K
Forks1.8K

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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Detailed Comparison

GraphQL
GraphQL
GraphiQL
GraphiQL

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.

An in-browser IDE for exploring GraphQL.

Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective
-
Statistics
GitHub Stars
-
GitHub Stars
16.7K
GitHub Forks
-
GitHub Forks
1.8K
Stacks
34.9K
Stacks
234
Followers
28.1K
Followers
151
Votes
309
Votes
12
Pros & Cons
Pros
  • 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
  • 12
    Get many resources in a single request
Cons
  • 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
    No built in security
Pros
  • 5
    Install by npm
  • 5
    In-browser IDE
  • 1
    Editor Theme
  • 1
    Graphql

What are some alternatives to GraphQL, GraphiQL?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

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