MongoDB Compass vs MySQL WorkBench

Overview

MySQL WorkBench

Stacks378

Followers731

Votes28

MongoDB Compass

Stacks197

Followers384

Votes0

MongoDB Compass vs MySQL WorkBench: What are the differences?

Introduction

In this article, we will discuss the key differences between MongoDB Compass and MySQL Workbench. Both MongoDB Compass and MySQL Workbench are popular database management tools, but they have some significant differences in functionality and features.

Data Modeling and Schema Design: In MongoDB Compass, the focus is on schema-less design, allowing for flexibility in data structures and the ability to handle unstructured data. It is suited for document-based databases like MongoDB. On the other hand, MySQL Workbench emphasizes structured data modeling using tables, columns, and relationships, making it suitable for relational databases like MySQL.
Querying and Language Support: MongoDB Compass offers a powerful query language called MongoDB Query Language (MQL), which supports complex queries and allows for efficient data retrieval from a document database. In contrast, MySQL Workbench primarily utilizes Structured Query Language (SQL), a standardized language for relational database management systems.
Interface and User Experience: MongoDB Compass provides a modern and intuitive graphical user interface (GUI) that allows users to easily navigate and interact with the database. It offers visual tools for data exploration, query building, and document editing. MySQL Workbench, on the other hand, offers a more traditional GUI with a wide range of features for database administration, including SQL code editing, schema design, and server configuration.
Database Compatibility: MongoDB Compass is specifically designed for MongoDB, making it highly compatible with MongoDB databases and optimized for their specific features and functionalities. In contrast, MySQL Workbench is tailored for MySQL databases and offers features that are specific to MySQL, such as visual query building tools, performance analysis, and database modeling.
Authentication and Security: MongoDB Compass supports authentication mechanisms like username/password authentication and MongoDB's internal role-based access control (RBAC) system. It also supports Transport Layer Security (TLS) for secure communication. MySQL Workbench provides similar authentication mechanisms and also supports advanced security features like user management, encryption, and access control based on user privileges.
Availability and Platform Support: MongoDB Compass is available for Windows, macOS, and Linux platforms. It offers a consistent experience across different operating systems. In contrast, MySQL Workbench supports Windows, macOS, and Linux as well, but its user interface may vary slightly between platforms.

In summary, MongoDB Compass and MySQL Workbench differ in terms of data modeling, querying language, interface, database compatibility, authentication and security, and platform support. These differences cater to the specific needs and requirements of different database systems, providing users with tailored experiences for document-based (MongoDB) and relational (MySQL) databases.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on MySQL WorkBench, MongoDB Compass

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

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	MongoDB Compass
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.	Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance.
Design Database, Model Database, Generate Database	built-in schema visualization; immediate insight into server status and query performance; View utilization and manage your indexes; A simpler way to validate your data; Extensible via plugins;
Statistics
Stacks 378	Stacks 197
Followers 731	Followers 384
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	Windows MongoDB Linux

What are some alternatives to MySQL WorkBench, MongoDB Compass?

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

MongoDB Compass vs MySQL WorkBench: What are the differences?

Introduction

Data Modeling and Schema Design: In MongoDB Compass, the focus is on schema-less design, allowing for flexibility in data structures and the ability to handle unstructured data. It is suited for document-based databases like MongoDB. On the other hand, MySQL Workbench emphasizes structured data modeling using tables, columns, and relationships, making it suitable for relational databases like MySQL.
Querying and Language Support: MongoDB Compass offers a powerful query language called MongoDB Query Language (MQL), which supports complex queries and allows for efficient data retrieval from a document database. In contrast, MySQL Workbench primarily utilizes Structured Query Language (SQL), a standardized language for relational database management systems.
Interface and User Experience: MongoDB Compass provides a modern and intuitive graphical user interface (GUI) that allows users to easily navigate and interact with the database. It offers visual tools for data exploration, query building, and document editing. MySQL Workbench, on the other hand, offers a more traditional GUI with a wide range of features for database administration, including SQL code editing, schema design, and server configuration.
Database Compatibility: MongoDB Compass is specifically designed for MongoDB, making it highly compatible with MongoDB databases and optimized for their specific features and functionalities. In contrast, MySQL Workbench is tailored for MySQL databases and offers features that are specific to MySQL, such as visual query building tools, performance analysis, and database modeling.
Authentication and Security: MongoDB Compass supports authentication mechanisms like username/password authentication and MongoDB's internal role-based access control (RBAC) system. It also supports Transport Layer Security (TLS) for secure communication. MySQL Workbench provides similar authentication mechanisms and also supports advanced security features like user management, encryption, and access control based on user privileges.
Availability and Platform Support: MongoDB Compass is available for Windows, macOS, and Linux platforms. It offers a consistent experience across different operating systems. In contrast, MySQL Workbench supports Windows, macOS, and Linux as well, but its user interface may vary slightly between platforms.

MongoDB Compass vs MySQL WorkBench

Overview