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What is SQL Fiddle?

If you are not familiar with SQL or the basic concepts of databases, you might find this website to be of limited use. On the other hand, for individuals engaged in database development, SQL Fiddle offers various practical features that cater to your requirements. It provides a convenient way to compare and analyze SQL queries across different database systems. With SQL Fiddle, users can effortlessly toggle between multiple database platforms like MySQL, PostgreSQL, MS SQL Server, Oracle, and SQLite for their queries. This capability facilitates a quick evaluation of the difficulties associated with migrating queries or the specific language features that each database system offers. In instances where a certain database platform is unavailable, yet you want to grasp how a particular query would operate in that environment, SQL Fiddle serves as a highly effective solution. You can easily establish your database and run queries right on the site, which eliminates the necessity of a complete installation for testing purposes. Consequently, this makes it an essential resource for developers eager to hone their SQL skills and delve into various database functionalities without the complexities of traditional setups. Additionally, it empowers users to experiment freely and learn in a controlled environment, ultimately enhancing their understanding of SQL and databases.

What is HeidiSQL?

HeidiSQL is a free software tool designed for ease of use, enabling users to view and modify data as well as manage structures on systems utilizing MariaDB, MySQL, or Microsoft SQL databases. Created by Ansgar in 2002, HeidiSQL has become one of the leading applications for working with MariaDB and MySQL. This open-source program is accessible to all and allows for the simultaneous connection of multiple servers within a single interface. It supports not only MariaDB, MySQL, and MS SQL but also offers connectivity through command line, SSH tunnels, or SSL settings. Users can perform a wide range of actions, including editing tables, views, stored procedures, triggers, and scheduled events, as well as creating elegant SQL exports that can be compressed or copied directly to the clipboard. Moreover, exporting data can be done seamlessly from one server or database to another, and the tool offers functionality for managing user privileges, importing text files, and exporting table rows in various formats such as CSV, HTML, XML, SQL, LaTeX, Wiki Markup, and PHP Array. With a user-friendly grid interface, HeidiSQL facilitates effortless browsing and editing of table data, making database management intuitive and efficient. Overall, the versatility and robust features of HeidiSQL make it an indispensable tool for database administrators and developers alike.

Media

Media

Integrations Supported

Firebird
InterBase
MariaDB
MySQL
PostgreSQL
ProxySQL
SQL Server
SQLite

Integrations Supported

Firebird
InterBase
MariaDB
MySQL
PostgreSQL
ProxySQL
SQL Server
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$0
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SQL Fiddle

Company Website

sqlfiddle.com

Company Facts

Organization Name

HeidiSQL

Date Founded

2002

Company Location

Germany

Company Website

www.heidisql.com

Categories and Features

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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