GraphQL Playground vs MySQL WorkBench

Overview

MySQL WorkBench

Stacks378

Followers731

Votes28

GraphQL Playground

Stacks100

Followers95

Votes0

GraphQL Playground vs MySQL WorkBench: What are the differences?

GraphQL Playground and MySQL Workbench are two widely used tools in the software development process. Let's explore the key differences between these tools.

Purpose: GraphQL Playground is specifically designed for testing and debugging GraphQL APIs. It allows developers to interact with the API, run queries, explore the schema, and see real-time results. On the other hand, MySQL Workbench is a visual tool for database design, development, and administration. It focuses on managing MySQL databases, creating data models, writing SQL queries, and performing various database tasks.
User Interface: GraphQL Playground has a clean and user-friendly interface that is optimized for working with GraphQL queries and mutations. It provides a rich editing environment with syntax highlighting, auto-completion, and query history. In contrast, MySQL Workbench has a complex interface with multiple tabs for different database-related tasks such as schema design, SQL development, server configuration, and performance tuning.
Query Language: GraphQL Playground uses the GraphQL query language, which is a flexible and efficient way to request specific data from APIs. Developers can write complex queries with nested fields and filter data based on their requirements. MySQL Workbench, on the other hand, utilizes SQL (Structured Query Language) for querying databases. SQL is a powerful language for working with relational databases and performing operations like inserts, updates, deletes, and joins.
Real-time Interaction: GraphQL Playground allows developers to interact with the API in real time, making it easy to test queries, explore data, and debug issues on the fly. Developers can see instant results and errors as they make changes to their queries. In contrast, MySQL Workbench requires developers to manually execute queries to see results, which can be a more time-consuming process for testing and troubleshooting.
Integration: GraphQL Playground is often integrated into GraphQL server implementations like Apollo Server, Prisma, and Hasura, providing a seamless development workflow for working with GraphQL APIs. Developers can open the Playground directly from their server environment and start testing queries immediately. MySQL Workbench, on the other hand, can connect to MySQL databases hosted on local or remote servers, allowing developers to manage and query their databases from a centralized tool.
Version Control: GraphQL Playground does not natively support version control or collaborative features, making it challenging for teams to work together on queries and API development. On the other hand, MySQL Workbench allows developers to save and version control their SQL scripts, schemas, and database configurations using external version control systems like Git, enabling better collaboration and tracking of changes over time.

In Summary, GraphQL Playground is a focused tool for testing and debugging GraphQL APIs with real-time interaction, while MySQL Workbench is a comprehensive visual tool for managing MySQL databases with support for SQL queries and database administration tasks.

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Advice on MySQL WorkBench, GraphQL Playground

Adam

IT Consultant

Jan 14, 2020

Decided

We were looking a tool that would allow us to do MySQL and PostgreSQL development/administration from a single tool. We decided on Navicat Premium because it can connect to MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite databases - and simultaneously. It's also compatible with Amazon RDS and Microsoft Azure, which we also use.

Moreover, we previously experienced the occasional freezing and crashing in MySQL Workbench. It also suffered from a poor design, with certain features being a bit difficult to find. Meanwhile, phpMyAdmin lacked schema visualization tools and seemed better suited to lightweight day to day transactions than some of the big jobs that we needed to do.

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Comments

Aashwiin

Feb 6, 2020

Needs advice

I am looking to build an azure database that connects to my power bi application. Initially, I attempted to create an Azure SQL database, then realized I needed to have SQL Server Management Service in order to manage and connect between Azure SQL <=> Power BI, but since I am on a Mac, I had to use the complex installation as a workaround.

If MySQL Workbench can solve this (as the product is available on Mac), I am more than happy to proceed with this approach if it can achieve the same goal of connecting an azure database with my Power BI application

What I am trying to achieve is fairly simple: have an online cloud database that connects to my Power BI application

I am open to any other solutions as well

Thank you

227k views227k

Comments

Detailed Comparison

MySQL WorkBench	GraphQL Playground
It enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort.	GraphQL IDE for better development workflows (GraphQL Subscriptions, interactive docs & collaboration).
Design Database, Model Database, Generate Database	Context-aware autocompletion & error highlighting; Interactive, multi-column docs (keyboard support); Supports real-time GraphQL Subscriptions; GraphQL Config support with multiple Projects & Endpoints; Apollo Tracing support;
Statistics
Stacks 378	Stacks 100
Followers 731	Followers 95
Votes 28	Votes 0
Pros & Cons
Pros 7 Simple 7 Free 6 Easy to use 5 Clean UI 3 Administration and monitoring module	No community feedback yet
Integrations
MariaDB PostgreSQL SQLite	GraphQL

What are some alternatives to MySQL WorkBench, GraphQL Playground?

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.

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.

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

Related Comparisons

GraphQL Playground vs MySQL WorkBench: What are the differences?

GraphQL Playground and MySQL Workbench are two widely used tools in the software development process. Let's explore the key differences between these tools.

Purpose: GraphQL Playground is specifically designed for testing and debugging GraphQL APIs. It allows developers to interact with the API, run queries, explore the schema, and see real-time results. On the other hand, MySQL Workbench is a visual tool for database design, development, and administration. It focuses on managing MySQL databases, creating data models, writing SQL queries, and performing various database tasks.
User Interface: GraphQL Playground has a clean and user-friendly interface that is optimized for working with GraphQL queries and mutations. It provides a rich editing environment with syntax highlighting, auto-completion, and query history. In contrast, MySQL Workbench has a complex interface with multiple tabs for different database-related tasks such as schema design, SQL development, server configuration, and performance tuning.
Query Language: GraphQL Playground uses the GraphQL query language, which is a flexible and efficient way to request specific data from APIs. Developers can write complex queries with nested fields and filter data based on their requirements. MySQL Workbench, on the other hand, utilizes SQL (Structured Query Language) for querying databases. SQL is a powerful language for working with relational databases and performing operations like inserts, updates, deletes, and joins.
Real-time Interaction: GraphQL Playground allows developers to interact with the API in real time, making it easy to test queries, explore data, and debug issues on the fly. Developers can see instant results and errors as they make changes to their queries. In contrast, MySQL Workbench requires developers to manually execute queries to see results, which can be a more time-consuming process for testing and troubleshooting.
Integration: GraphQL Playground is often integrated into GraphQL server implementations like Apollo Server, Prisma, and Hasura, providing a seamless development workflow for working with GraphQL APIs. Developers can open the Playground directly from their server environment and start testing queries immediately. MySQL Workbench, on the other hand, can connect to MySQL databases hosted on local or remote servers, allowing developers to manage and query their databases from a centralized tool.
Version Control: GraphQL Playground does not natively support version control or collaborative features, making it challenging for teams to work together on queries and API development. On the other hand, MySQL Workbench allows developers to save and version control their SQL scripts, schemas, and database configurations using external version control systems like Git, enabling better collaboration and tracking of changes over time.

GraphQL Playground vs MySQL WorkBench

Overview