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What is QDeFuZZiner?

In the QDeFuZZiner application, the core organizational element is termed a project, which includes the definitions of two datasets intended for import and analysis, identified as the "left dataset" and the "right dataset." Each project contains these datasets along with a variable number of solutions that outline the procedures for performing fuzzy match analysis. When a project is created, it is assigned a unique project tag that is then added to the names of the input tables during the raw data importation process. This tagging mechanism ensures the distinctiveness of the imported tables by linking them to their corresponding project names. Additionally, throughout the import process and in subsequent steps for generating and implementing solutions, QDeFuZZiner constructs several indexes within the PostgreSQL database, which improves the effectiveness of fuzzy data matching tasks. The datasets can originate from various spreadsheet formats such as .xlsx, .xls, .ods, or from CSV (comma-separated values) files, which are uploaded to the server database, facilitating the creation, indexing, and processing of the associated left and right database tables. This organized methodology not only enhances data management but also optimizes the analytical process, allowing users to efficiently extract valuable insights from their datasets. Ultimately, this design aims to provide a seamless experience for users, ensuring that they can easily navigate complex data environments.

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

PostgreSQL
Firebird
InterBase
MariaDB
MySQL
ProxySQL
SQL Server
SQLite

Integrations Supported

PostgreSQL
Firebird
InterBase
MariaDB
MySQL
ProxySQL
SQL Server
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

QDeFuZZiner

Company Website

zmatasoft.wixsite.com/qdefuzziner/qdefuzziner-software-features

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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