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What is Superhuman Databases?

Superhuman Databases is a collaborative online tool crafted for teams to effectively organize and manage structured data within Superhuman Docs. It empowers users to construct tables, set up fields and records, and handle data using saved views, filters, sorting, grouping, and formulas. Moreover, these databases can be seamlessly integrated into documents, maintaining synchronization with tables so that any updates are consistently reflected in both formats. This product proves particularly beneficial for collaborative endeavors such as project tracking, resource management, inventory lists, and curating directories or various datasets by teams. In addition, the system offers workspace controls that enable detailed permission settings, allowing administrators to specify who can view or modify the information, with enterprise plans available for more extensive database requirements. Currently in its beta phase within the Superhuman Docs workspace, access to Databases depends on the particular Superhuman plan that a team subscribes to, providing a versatile solution tailored to different organizational needs. As teams increasingly look for effective data management solutions, the launch of this feature is designed to bolster collaborative activities and optimize the handling of information, leading to improved productivity and efficiency. This innovative tool marks a significant evolution in the way teams interact with and utilize their data resources.

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.

Media

Media

Integrations Supported

Superhuman Docs

Integrations Supported

PostgreSQL

API Availability

API Availability

Pricing Information

$33/month
Databases Beta is included in Superhuman Docs Business, listed at $33 per Doc Maker/month billed annually ($396 per year) or $40 per Doc Maker/month billed monthly. This is bundled plan pricing, not a separate database price.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Superhuman

Date Founded

2009

Company Location

United States

Company Website

superhuman.com/databases

Company Facts

Organization Name

QDeFuZZiner

Company Website

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

Categories and Features

Database

Not specified

Categories and Features

Data Matching

Not specified

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