GraphQL vs graphqurl

Overview

GraphQL

Stacks34.9K

Followers28.1K

Votes309

graphqurl

Stacks17

Followers27

Votes0

GitHub Stars3.4K

Forks101

GraphQL vs graphqurl: What are the differences?

**Introduction:**
GraphQL and graphqurl are both tools used in web development to work with GraphQL APIs. Despite having similar names, they have key differences that set them apart.

1. **Usage**: GraphQL is a query language for APIs that enables clients to request only the data they need, while graphqurl is a curl like CLI for GraphQL. It allows users to interact with a GraphQL server directly from the command line.
   
2. **Functionality**: GraphQL is used for defining and querying API schemas, providing a way for clients to ask for specific data without over-fetching, while graphqurl is more focused on providing a simplified way to make raw HTTP requests to GraphQL servers.

3. **Ease of Use**: GraphQL requires a schema to be defined in order to interact with the API, making it suitable for more structured and complex applications, whereas graphqurl is more straightforward and can be used quickly for ad-hoc requests without the need for setting up a schema.

4. **Interactivity**: With GraphQL, developers can create a strongly typed schema that defines data structure and relationships, providing better validation and type safety, while graphqurl does not offer the same level of interactivity and type checking.

5. **Built-in Features**: GraphQL comes with a set of tools and libraries for implementing APIs, handling subscriptions, and managing caching, offering a more comprehensive ecosystem for building GraphQL APIs, whereas graphqurl is a standalone tool that focuses solely on making HTTP requests to GraphQL servers.

6. **Community Support**: GraphQL has a large and active community of developers contributing to its growth and improvement, supported by companies like Facebook and GitHub, while graphqurl, being a specialized tool, may have less community support and resources available.

In Summary, GraphQL and graphqurl differ in usage, functionality, ease of use, interactivity, built-in features, and community support.

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CLI (Node.js)

Manual

Detailed Comparison

GraphQL	graphqurl
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.	Made by the team at hasura.io, graphqurl is a curl like CLI for GraphQL.
Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective	CLI for making GraphQL queries with autocomplete;Run GraphiQL locally against any endpoint;Use as a library with Node.js or from the browser;Supports subscriptions
Statistics
GitHub Stars -	GitHub Stars 3.4K
GitHub Forks -	GitHub Forks 101
Stacks 34.9K	Stacks 17
Followers 28.1K	Followers 27
Votes 309	Votes 0
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	No community feedback yet
Integrations
No integrations available	GraphiQL

What are some alternatives to GraphQL, graphqurl?

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

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

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

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

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

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

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 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.

Related Comparisons

GraphQL vs graphqurl: What are the differences?

**Introduction:**
GraphQL and graphqurl are both tools used in web development to work with GraphQL APIs. Despite having similar names, they have key differences that set them apart.

1. **Usage**: GraphQL is a query language for APIs that enables clients to request only the data they need, while graphqurl is a curl like CLI for GraphQL. It allows users to interact with a GraphQL server directly from the command line.
   
2. **Functionality**: GraphQL is used for defining and querying API schemas, providing a way for clients to ask for specific data without over-fetching, while graphqurl is more focused on providing a simplified way to make raw HTTP requests to GraphQL servers.

3. **Ease of Use**: GraphQL requires a schema to be defined in order to interact with the API, making it suitable for more structured and complex applications, whereas graphqurl is more straightforward and can be used quickly for ad-hoc requests without the need for setting up a schema.

4. **Interactivity**: With GraphQL, developers can create a strongly typed schema that defines data structure and relationships, providing better validation and type safety, while graphqurl does not offer the same level of interactivity and type checking.

5. **Built-in Features**: GraphQL comes with a set of tools and libraries for implementing APIs, handling subscriptions, and managing caching, offering a more comprehensive ecosystem for building GraphQL APIs, whereas graphqurl is a standalone tool that focuses solely on making HTTP requests to GraphQL servers.

6. **Community Support**: GraphQL has a large and active community of developers contributing to its growth and improvement, supported by companies like Facebook and GitHub, while graphqurl, being a specialized tool, may have less community support and resources available.

In Summary, GraphQL and graphqurl differ in usage, functionality, ease of use, interactivity, built-in features, and community support.

GraphQL vs graphqurl

Overview