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

AzureDataStudio vs HeidiSQL

OverviewDecisionsComparisonAlternatives

Overview

HeidiSQL
HeidiSQL
Stacks154
Followers309
Votes6
GitHub Stars5.5K
Forks522
AzureDataStudio
AzureDataStudio
Stacks89
Followers108
Votes0
GitHub Stars7.7K
Forks961

AzureDataStudio vs HeidiSQL: What are the differences?

Introduction

Azure Data Studio and HeidiSQL are both powerful database management tools that offer various features and functionalities. However, there are key differences between these two tools that users should be aware of in order to choose the one that best fits their needs.

  1. Platform Compatibility: Azure Data Studio is compatible with Windows, macOS, and Linux operating systems, making it a versatile option for users across different platforms. On the other hand, HeidiSQL is primarily designed for Windows and does not offer official support for macOS or Linux.

  2. Supported Databases: Azure Data Studio is built on the same foundation as Visual Studio Code and offers support for various databases, including SQL Server, Azure SQL Database, PostgreSQL, and MySQL. In contrast, HeidiSQL focuses primarily on MySQL and MariaDB, offering extensive features and functionalities specifically tailored to these databases.

  3. User Interface: Azure Data Studio provides a modern and intuitive user interface (UI) that is similar to Visual Studio Code, making it easy for developers to navigate and work with. It offers various features like IntelliSense, code snippets, and extensions to enhance productivity. HeidiSQL, on the other hand, has a more traditional and straightforward UI that focuses on simplicity and ease of use.

  4. Advanced Data Manipulation: Azure Data Studio offers advanced data manipulation capabilities, such as the ability to import/export data, generate scripts, and perform advanced queries. It also supports notebook functionality, which allows users to write and execute code snippets in a document format. While HeidiSQL provides basic data manipulation functionalities, it may not have the same level of advanced features as Azure Data Studio.

  5. Collaboration and Version Control: Azure Data Studio has built-in integration with Git, which allows users to easily collaborate with others and manage version control for their SQL scripts and database projects. This feature simplifies the development workflow and enables seamless collaboration with team members. HeidiSQL, on the other hand, lacks built-in integration with version control systems, making it less suitable for collaborative development environments.

  6. Extensibility and Customization: Azure Data Studio offers a wide range of extensions and customizations that allow users to tailor the tool to their specific needs and preferences. These extensions can enhance the functionality of Azure Data Studio and provide additional features like language support, code formatting, and database-specific tools. HeidiSQL, on the other hand, has limited extensibility options and may not offer the same level of customization as Azure Data Studio.

In summary, Azure Data Studio is a versatile and feature-rich tool that supports multiple platforms, databases, and advanced functionalities like data import/export and collaboration with version control systems. On the other hand, HeidiSQL is primarily focused on MySQL and offers a more straightforward and simple UI, making it a suitable choice for users specifically working with MySQL databases.

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Advice on HeidiSQL, 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

Detailed Comparison

HeidiSQL
HeidiSQL
AzureDataStudio
AzureDataStudio

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.

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.

-
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
5.5K
GitHub Stars
7.7K
GitHub Forks
522
GitHub Forks
961
Stacks
154
Stacks
89
Followers
309
Followers
108
Votes
6
Votes
0
Pros & Cons
Pros
  • 1
    Client application which is lightweight
  • 1
    Easy configuration
  • 1
    Multiple query tabulations
  • 1
    Connect to multiple servers on same client
  • 1
    Run multiple queries simultaneously
Cons
  • 1
    Mac OS/ Linux incompatible
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
MariaDB
MariaDB
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
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 HeidiSQL, 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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