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  1. Stackups
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  3. Databases
  4. Databases
  5. MySQL vs SQLyog

MySQL vs SQLyog

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
SQLyog
SQLyog
Stacks22
Followers48
Votes0
GitHub Stars986
Forks165

MySQL vs SQLyog: What are the differences?

The following Markdown code provides a comparison between MySQL and SQLyog:

Key Differences between MySQL and SQLyog

  1. Performance and Optimization: MySQL is a renowned open-source relational database management system (RDBMS) known for its efficient performance and optimization capabilities. On the other hand, SQLyog is a graphical interface tool designed specifically for MySQL databases. SQLyog offers various features like query profiling, index optimization, and schema optimization, which assist in enhancing the performance and optimization of MySQL databases.

  2. User Interface: MySQL typically does not have a graphical user interface (GUI), and its operations are primarily carried out through the command line or scripts. In contrast, SQLyog provides an intuitive and user-friendly GUI, making it easier for developers and database administrators to manage and visualize data and perform database-related tasks. SQLyog's GUI offers features like drag-and-drop query building, visual data editing, and database synchronization.

  3. Database Administration: MySQL lacks some advanced database administration features that are available in SQLyog. SQLyog provides functionalities like database backup and restore, scheduled execution of SQL scripts, and user management, simplifying the overall database administration process. These features enhance the security, reliability, and overall management of MySQL databases.

  4. SSH and SSL Tunneling: SQLyog offers the capability of establishing secure connections to MySQL databases using SSH and SSL tunneling. This ensures the confidentiality and integrity of data transmitted between the client and the server. In contrast, MySQL does not have built-in functionalities for SSH and SSL tunneling, requiring additional configurations and tools to achieve secure connections.

  5. Query Building and Optimization: SQLyog provides a query builder tool that allows users to visually create complex SQL queries by dragging and dropping tables and columns. This streamlines the query building process and reduces human errors. Furthermore, SQLyog includes features for query optimization, such as visual query profiling and index analyzer, which help developers identify and resolve performance issues in their SQL queries. MySQL, on the other hand, does not offer a built-in query builder or query optimization tools.

  6. Data Synchronization: SQLyog provides a powerful data synchronization feature that allows users to synchronize data between two databases with different structures. This is particularly useful in scenarios where developers need to synchronize databases across different environments or synchronize data between development and production databases. MySQL does not have built-in data synchronization capabilities, requiring developers to rely on third-party tools or custom scripts to achieve data synchronization.

In summary, MySQL is a powerful RDBMS known for its performance and optimization capabilities, while SQLyog is a user-friendly GUI tool tailored for managing MySQL databases. SQLyog offers advanced features like SSH and SSL tunneling, comprehensive database administration functionalities, query building, query optimization, and data synchronization, which enhance the overall productivity and ease of use for MySQL database management.

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Advice on MySQL, SQLyog

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
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
SQLyog
SQLyog

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 is the most complete MySQL management, GUI solution for DBAs & Devops with powertools like scheduled backups, SSH and HTTP tunneling.

-
Sql;Easy;GUI;Performance
Statistics
GitHub Stars
11.8K
GitHub Stars
986
GitHub Forks
4.1K
GitHub Forks
165
Stacks
129.6K
Stacks
22
Followers
108.6K
Followers
48
Votes
3.8K
Votes
0
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
No community feedback yet
Integrations
No integrations available
SQLite
SQLite
Boundary
Boundary
Woopra
Woopra
Clever Cloud
Clever Cloud

What are some alternatives to MySQL, SQLyog?

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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