
DBeaver
DataGrip
MySQL Workbench
phpMyAdmin
DbVisualizer
Navicat
Adminer
HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

Heroku
Google App Engine
PythonAnywhere
Back4App
Cogent Cloud
DigitalOcean
iTerm2
Deploy, manage and scale any web app
Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | heidisql.com | dotcloud.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of dotCloud yet.
Walkthroughs and reviews on video.
[HeidiSQL] Main features review
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How often each product is chosen within a category, 0–100% relative to the other.


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External articles and on-site reviews we used to compare the two products.


HeidiSQL is an established multidatabase tool that efficiently copes with essential database tasks, including SQL coding, query construction, and the creation and editing of various database objects, along with some...
HeidiSQL is another free SQL GUI tool you can use for database development and administration if you are looking only for purely basic functionality, like current statement execution, easy code snippet management,...
HeidiSQL is a widely used, user-friendly GUI tool tailored for managing databases across major database management systems such as MySQL and MariaDB. While it may not offer the advanced features of some other IDEs,...
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DBeaver - Universal Database Manager and SQL Client.
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Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
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A powerful platform to build web and mobile apps that scale automatically.
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MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.
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Host, run, and code Python in the cloud: PythonAnywhere
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