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Open Data Hub VS HeidiSQL

Compare Open Data Hub VS HeidiSQL and see what are their differences

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Open Data Hub logo Open Data Hub

OpenDataHub

HeidiSQL logo HeidiSQL

HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.
  • Open Data Hub Landing page
    Landing page //
    2023-06-01
  • HeidiSQL Landing page
    Landing page //
    2021-09-15

Open Data Hub features and specs

No features have been listed yet.

HeidiSQL features and specs

  • Cost
    HeidiSQL is open-source and free to use, which makes it an affordable choice for individuals and organizations.
  • Multiple Database Support
    The tool supports a wide range of database systems including MySQL, MariaDB, PostgreSQL, and SQL Server, providing flexibility for users.
  • User-Friendly Interface
    HeidiSQL offers an intuitive and easy-to-navigate interface, making it accessible for both beginners and experienced users.
  • Query Editor
    The integrated query editor includes syntax highlighting and autocompletion, which enhances productivity and reduces errors.
  • Data Export and Import
    Users can easily export and import data in various formats like CSV, SQL, and XML, facilitating data management tasks.
  • Active Community
    A strong community of users and developers provides support, plugins, and regular updates.
  • Session Management
    HeidiSQL offers advanced session management features, allowing users to handle multiple database connections simultaneously.

Possible disadvantages of HeidiSQL

  • Platform Limitation
    HeidiSQL is primarily designed for Windows, which can be a limitation for users on other operating systems like macOS and Linux.
  • Lacks Some Features
    Compared to some other database management tools, HeidiSQL may lack advanced features such as graphical execution plans and integrated SSH tunneling.
  • Performance Issues
    Users have reported occasional performance issues, especially when dealing with large datasets or complex queries.
  • Learning Curve
    While generally user-friendly, some features and configurations can still be complex for beginners, necessitating time to learn.
  • Limited Data Visualization
    The tool offers limited data visualization options, which may not be sufficient for users requiring advanced data analytics capabilities.
  • Dependency on Wine for Linux
    Running HeidiSQL on Linux typically requires using Wine, which can introduce compatibility issues and reduce performance.

Analysis of HeidiSQL

Overall verdict

  • HeidiSQL is generally considered a good SQL client, especially for users who work with MySQL, MariaDB, and PostgreSQL databases.

Why this product is good

  • User-Friendly Interface: HeidiSQL offers an intuitive and clean interface suitable for both beginners and experienced database administrators.
  • Feature-Rich: It provides a range of features such as database management, data browsing and editing, session management, query execution, and export/import capabilities.
  • Performance: HeidiSQL is lightweight, fast, and responsive, making it an efficient tool for database management.
  • Community Support: Being an open-source tool, it has a strong community that contributes to its development and offers support via forums and other channels.
  • Cross-Platform Compatibility: Though originally designed for Windows, HeidiSQL can be used on Unix-based systems using Wine, allowing for wider accessibility.

Recommended for

  • Database Administrators: Those who need a reliable and straightforward tool for managing MySQL, MariaDB, and PostgreSQL databases.
  • Developers: Coders who require an effective way to interact with their databases during the development process.
  • Students: Individuals learning SQL and database management who need a tool to practice and apply their knowledge.
  • Freelancers: Independent professionals who need a free, yet powerful, tool for their database tasks.

Open Data Hub videos

+ Add

Open Data Hub Introduction

More videos:

  • Review - Fraud Detection Using Open Data Hub on Openshift
  • Review - Installing Open Data Hub on OpenShift 4.1

HeidiSQL videos

+ Add

[HeidiSQL] Main features review

More videos:

  • Review - Tutorial HeidiSQL with MariaDB and MySQL Part 5 Relation 2 tables and more
  • Tutorial - HeidiSQL Tutorial 05 :- How to Import and Export database in HeidiSQL

Category Popularity

0-100% (relative to Open Data Hub and HeidiSQL)

Open Data Hub

HeidiSQL

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Databases
0 0%
Databases
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Database Management
0 0%
Database Management
100% 100

User comments

Share your experience with using Open Data Hub and HeidiSQL. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Open Data Hub and HeidiSQL

Open Data Hub Reviews

We have no reviews of Open Data Hub yet.
Be the first one to post

HeidiSQL Reviews

  1. Mark-Mercer
    · self emloyed dba at Shatz ·
    very good and handy tool

    There was a need to work with the MS SQL database, but I did not want to install and understand the complex SQL Management Studio program, and this product turned out to be very easy to install and use. For more then 2 month i've used the tool haven't came across any issues.

    🏁 Competitors: SQL Server Management Studio
    👍 Pros:    Lightweight|Simple yet powerful and efficient tool|Many built-in features
    👎 Cons:    Nothing, so far
TOP 10 IDEs for SQL Database Management & Administration [2024]
HeidiSQL is one of the most popular multidatabase IDEs for database developers and administrators. It is free and open-source, thus opening excellent customization possibilities for the users. Also, it offers decent functionality to perform standard tasks across diverse databases. Though it lacks some advanced options that might be found in more robust IDEs, HeidiSQL can...
Source: blog.devart.com
5 Free & Open Source DBeaver Alternatives for 2024
Created in 2002, HeidiSQL is a well respected and mature GUI for managing MySQL, MariaDB, Microsoft SQL, and PostgreSQL databases on Microsoft Windows. It offers a robust set of features including a graphical interface for managing databases and data visually.
Source: www.beekeeperstudio.io
Top Ten MySQL GUI Tools
Navicat for MySQL is a powerful graphical interface that synchronizes your connection settings, models, and queries to the Navicat Cloud for automatic saving and sharing at any given time. Just like HeidiSQL, Navicat for MySQL has the ability to connect to a MySQL database through an SSH tunnel. It also offers workable data migration by providing comprehensive data format...
Source: www.databasejournal.com
Top 10 of Most Helpful MySQL GUI Tools
The existing database tools for MySQL are many, and you can always find the right solution. There are both free and paid solutions. While the freeware tools like HeidiSQL or the Workbench free edition provide the basic functionality to do quintessential jobs, database professionals often need additional options. In this aspect, we’d recommend turning to advanced toolsets...
Source: www.hforge.org
20 Best SQL Management Tools in 2020
HeidiSQL is another reliable SQL management tool. It is designed using the popular MySQL server, Microsoft SQL databases, and PostgreSQL. It allows users to browse and edit data, create and edit tables, views, triggers and scheduled events.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Open Data Hub seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Open Data Hub mentions (3)

  • job scheduling for scientific computing on k8s?
    Perhaps have a look at OpenDataHub. While geared for Openshift, see if they solved some of your concerns. Source: about 2 years ago
  • Elyra 2.2: R support, updated CLI, and more
    A common approach is to deploy JupyterHub on Kubernetes and configure it for Elyra, like it is done in Open Data Hub on the Red Hat OpenShift Container platform. - Source: dev.to / over 4 years ago
  • Automate your machine learning workflow tasks using Elyra and Apache Airflow
    If you are interested in running pipelines on Apache Airflow on the Red Hat OpenShift Container Platform, take a look at Open Data Hub. Open Data Hub is an open source project (just like Elyra) that should include everything you need to start running machine learning workloads in a Kubernetes environment. - Source: dev.to / over 4 years ago

HeidiSQL mentions (0)

We have not tracked any mentions of HeidiSQL yet. Tracking of HeidiSQL recommendations started around Mar 2021.

What are some alternatives?

When comparing Open Data Hub and HeidiSQL, you can also consider the following products

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

Apache Calcite - Relational Databases

DataGrip - Tool for SQL and databases

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