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  1. Stackups
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  4. Databases
  5. MySQL vs MySQL WorkBench

MySQL vs MySQL WorkBench

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
MySQL WorkBench
MySQL WorkBench
Stacks378
Followers731
Votes28

MySQL vs MySQL WorkBench: What are the differences?

Introduction

MySQL and MySQL Workbench are both tools used in database development and management. While MySQL is a relational database management system (RDBMS) used for storing and managing structured data, MySQL Workbench is a graphical user interface (GUI) tool used for creating, managing, and visualizing databases. Although they are often used together, there are key differences between the two.

  1. Purpose and Functionality: MySQL is designed as a command-line tool that allows users to interact with the database using SQL queries. It provides a wide range of features for managing data, including creating tables, modifying data, and executing complex queries. On the other hand, MySQL Workbench provides a visual interface that allows users to design, model, and administer databases in a more user-friendly way. It provides features like data modeling, database administration, and query execution.

  2. Interface: MySQL has a command-line interface where users primarily interact by typing commands and queries. It requires users to have knowledge of SQL syntax and commands. MySQL Workbench, on the other hand, provides a graphical interface with a workspace that includes various tools and panels for designing, managing, and querying databases. It allows users to perform database tasks by pointing and clicking instead of typing commands manually.

  3. Database Design Features: MySQL focuses on the storage and retrieval of data, but it doesn't provide advanced features for database design. Users have to manually create tables, define relationships, and configure constraints. MySQL Workbench, on the other hand, offers a comprehensive set of features for designing databases. It allows users to create and manage database objects like tables, views, indexes, and relationships using a visual interface.

  4. Collaboration and Version Control: MySQL doesn't have built-in features for collaboration and version control. Users have to rely on external tools or processes to manage database changes, track revisions, and collaborate with team members. MySQL Workbench, however, provides built-in support for version control systems like Git. It allows users to track changes, revert to previous versions, and collaborate with others using version control features.

  5. Visual Query Builder: MySQL doesn't have a built-in visual query builder. Users have to write SQL queries manually or use external tools to generate queries. MySQL Workbench, on the other hand, offers a visual query builder tool that allows users to create complex queries using a drag-and-drop interface. It provides a visual representation of the query structure and allows users to build queries without writing SQL code.

  6. Data Migration and Synchronization: MySQL doesn't have built-in features for data migration and synchronization. Users have to rely on external tools or custom scripts to migrate data between databases or synchronize data between multiple instances. MySQL Workbench, however, provides built-in features for data migration and synchronization. It allows users to easily migrate data from one database to another or synchronize data between multiple databases using a visual interface.

In summary, MySQL is a command-line RDBMS used for managing structured data, while MySQL Workbench is a graphical tool used for designing, managing, and querying databases. MySQL focuses more on data storage and retrieval, while MySQL Workbench provides a user-friendly interface with advanced features for database design, collaboration, version control, query building, and data migration.

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Advice on MySQL, MySQL WorkBench

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Anonymous
Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

366k views366k
Comments

Detailed Comparison

MySQL
MySQL
MySQL WorkBench
MySQL WorkBench

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

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.

-
Design Database, Model Database, Generate Database
Statistics
GitHub Stars
11.8K
GitHub Stars
-
GitHub Forks
4.1K
GitHub Forks
-
Stacks
129.6K
Stacks
378
Followers
108.6K
Followers
731
Votes
3.8K
Votes
28
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
Pros
  • 7
    Simple
  • 7
    Free
  • 6
    Easy to use
  • 5
    Clean UI
  • 3
    Administration and monitoring module
Integrations
No integrations available
MariaDB
MariaDB
PostgreSQL
PostgreSQL
SQLite
SQLite

What are some alternatives to MySQL, MySQL WorkBench?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

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.

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