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HeidiSQL vs SQLyog: What are the differences?


HeidiSQL and SQLyog are both popular SQL database management tools that provide convenient graphical interfaces for working with databases. While they share some similarities, there are key differences between the two.

  1. Supported Databases: HeidiSQL primarily supports MySQL and its forks like MariaDB, whereas SQLyog supports a broader range of databases including MySQL, MariaDB, and Microsoft SQL Server. This difference in supported databases makes SQLyog a better choice when working with diverse database environments.

  2. User Interface: HeidiSQL has a more simplistic and lightweight user interface compared to SQLyog, which offers a more extensive set of features and a visually appealing design. SQLyog's interface provides various visual tools, comprehensive wizards, and customizable views, making it more suitable for developers who require advanced functionality.

  3. SQL Query Builder: SQLyog incorporates a powerful SQL query builder that allows users to visually design complex queries using a drag-and-drop interface. In contrast, HeidiSQL does not have a built-in query builder, requiring users to manually write SQL statements. This feature in SQLyog improves productivity by simplifying query construction.

  4. Data Synchronization: SQLyog offers advanced data synchronization capabilities, allowing users to compare and reconcile data between two databases or tables efficiently. HeidiSQL, on the other hand, lacks this feature, making it less suitable for tasks that involve data synchronization.

  5. SSH Tunnelling: SQLyog provides the ability to establish secure SSH connections to remote databases, enhancing the security of data transmission. This feature is absent in HeidiSQL, limiting its use when secure connections are a requirement.

  6. Automation and Scheduled Jobs: SQLyog enables users to automate repetitive tasks by setting up scheduled jobs, such as database backups or data imports. HeidiSQL does not support this feature, making SQLyog a better choice for tasks that involve automation and job scheduling.

In summary, SQLyog offers a more comprehensive set of features, including support for a broader range of databases, a visually appealing interface, a SQL query builder, data synchronization capabilities, SSH tunneling, and automation through scheduled jobs. On the other hand, HeidiSQL is a simpler tool primarily focused on MySQL and lacks some of the advanced features provided by SQLyog.

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Pros of HeidiSQL
Pros of SQLyog
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    Client application which is lightweight
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    Easy configuration
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    Keep queries after execution
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    Connect to multiple servers on same client
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    Run multiple queries simultaneously
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    Multiple query tabulations
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    Cons of HeidiSQL
    Cons of SQLyog
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      Mac OS/ Linux incompatible
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      What is HeidiSQL?

      HeidiSQL is a useful and reliable tool designed for web developers using the popular MariaDB or MySQL server, Microsoft SQL databases or PostgreSQL. It enables you to browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots.

      What is SQLyog?

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

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      What companies use HeidiSQL?
      What companies use SQLyog?
      See which teams inside your own company are using HeidiSQL or SQLyog.
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      What tools integrate with HeidiSQL?
      What tools integrate with SQLyog?

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      What are some alternatives to HeidiSQL and SQLyog?
      Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.
      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.
      MySQL WorkBench
      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 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.
      As a portable web application written primarily in PHP, it has become one of the most popular MySQL administration tools, especially for web hosting services.
      See all alternatives