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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. AzureDataStudio vs MySQL WorkBench

AzureDataStudio vs MySQL WorkBench

OverviewDecisionsComparisonAlternatives

Overview

MySQL WorkBench
MySQL WorkBench
Stacks378
Followers731
Votes28
AzureDataStudio
AzureDataStudio
Stacks89
Followers108
Votes0
GitHub Stars7.7K
Forks961

AzureDataStudio vs MySQL WorkBench: What are the differences?

Introduction

Here are the key differences between Azure Data Studio and MySQL Workbench:

  1. Cross-platform Compatibility: Azure Data Studio is designed to be a cross-platform tool, compatible with Windows, macOS, and Linux, while MySQL Workbench is primarily designed for Windows operating systems. This means that Azure Data Studio provides a flexible and consistent experience for users across different platforms, making it accessible to a wider range of developers.

  2. Support for Multiple Databases: Azure Data Studio is not limited to just MySQL databases; it also supports other popular database systems such as PostgreSQL and SQL Server. On the other hand, MySQL Workbench is focused solely on managing MySQL databases. This flexibility in Azure Data Studio allows developers to work with different database platforms using a single tool.

  3. Integrated Source Control: Azure Data Studio provides built-in support for source control systems like Git, allowing developers to manage their database scripts and schema changes directly within the tool. MySQL Workbench, on the other hand, does not have integrated source control capabilities, requiring users to rely on external tools for version control.

  4. Extensions Ecosystem: Azure Data Studio has a rich ecosystem of extensions that enhance its functionality. Developers can customize their experience by installing additional extensions for features such as query formatting, data visualization, and database migration. MySQL Workbench, on the other hand, does not have a similar extensibility model, limiting the customization options available to users.

  5. Notebook Experience: Azure Data Studio provides a notebook experience that allows users to create and execute code snippets in a collaborative and interactive environment. This can be particularly useful for documenting the development process, sharing code with teammates, and performing data analysis tasks. MySQL Workbench does not offer this notebook experience and is primarily focused on database management tasks.

  6. Data Visualization: Azure Data Studio includes rich data visualization capabilities, allowing users to create charts, graphs, and dashboards to analyze and present data. This feature is particularly useful for data analysts and business intelligence professionals. MySQL Workbench does not have built-in data visualization capabilities and requires users to rely on external tools for visualizing data.

In summary, Azure Data Studio is a cross-platform tool that supports multiple databases and provides integrated source control, an extension ecosystem, notebook experience, and data visualization capabilities. MySQL Workbench, on the other hand, is primarily focused on MySQL database management and lacks these additional features and cross-platform compatibility.

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Advice on MySQL WorkBench, AzureDataStudio

Manikandan
Manikandan

Software Engineer at Blitzscaletech Software Solution

Jul 20, 2020

Needs adviceonDBeaverDBeaverAzureDataStudioAzureDataStudio

Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

1.74M views1.74M
Comments
Adam
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.

256k views256k
Comments
Aashwiin
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
MySQL WorkBench
AzureDataStudio
AzureDataStudio

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.

It is a cross-platform database tool for data professionals using the Microsoft family of on-premises and cloud data platforms on Windows, MacOS, and Linux.

Design Database, Model Database, Generate Database
Cross-Platform DB management for Windows, macOS and Linux with simple XCopy deployment; SQL Server Connection Management with Connection Dialog, Server Groups, Azure Integration and Registered Servers; Object Explorer supporting schema browsing and contextual command execution; T-SQL Query Editor with advanced coding features such as autosuggestions, error diagnostics, tooltips, formatting and peek definition; Query Results Viewer with advanced data grid supporting large result sets, export to JSON\CSV\Excel, query plan and charting; Management Dashboard supporting customizable widgets with drill-through actionable insights; Visual Data Editor that enables direct row insertion, update and deletion into tables
Statistics
GitHub Stars
-
GitHub Stars
7.7K
GitHub Forks
-
GitHub Forks
961
Stacks
378
Stacks
89
Followers
731
Followers
108
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
MariaDB
PostgreSQL
PostgreSQL
SQLite
SQLite
Linux
Linux
Git
Git
macOS
macOS
Microsoft SQL Server
Microsoft SQL Server
Windows
Windows
Azure SQL Database
Azure SQL Database

What are some alternatives to MySQL WorkBench, AzureDataStudio?

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.

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.

Flyway

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.

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