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ease
features
design
support

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Write a Review

Description

In QDeFuZZiner software, the fundamental unit is referred to as a project, which encompasses the definitions of two source datasets for import and analysis, known as the "left dataset" and "right dataset." Each project not only includes these datasets but also a variable number of solutions that detail the methodology for conducting fuzzy match analysis. Upon creation, every project is assigned a distinct project tag, which is subsequently appended to the names of the corresponding input tables during the raw data import process. This tagging system guarantees that the imported tables maintain uniqueness through association with their respective project names. Furthermore, during the import phase and later when generating and executing solutions, QDeFuZZiner establishes various indexes on the PostgreSQL database, thereby enhancing the efficiency of fuzzy data matching procedures. The datasets themselves can be sourced from spreadsheet formats such as .xlsx, .xls, .ods, or from CSV (comma separated values) flat files, which are uploaded to the server database, leading to the creation, indexing, and processing of the associated left and right database tables. This structured approach not only simplifies data management but also streamlines the analysis process, making it easier for users to derive insights from their datasets.

Description

Integrate the TableFlow import functionality directly into your application with minimal coding effort. Users can conveniently upload CSV files, map their columns, and address any errors to finalize the import process. Developers can then access the refined JSON data through the frontend SDK or the TableFlow API. This allows your engineering team to dedicate more time to enhancing core product features and innovations. Speed up the onboarding process for new customers with TableFlow’s efficient data import system. Eliminate the burden of manual data cleaning by utilizing advanced error detection and automatic correction capabilities. You can embed a fully customizable modal in your app using our frontend SDKs. The importer can be easily configured and tailored to your needs without any coding. Adjust the import process to seamlessly align with your application’s design. The system can automatically identify header rows and map the corresponding columns accordingly. You can impose requirements on all incoming data, enabling the import of millions of rows in mere seconds. With TableFlow, the open-source CSV importer, you can significantly accelerate the onboarding of customer data and enhance user satisfaction in the process. Ensure a smoother transition for your users by providing them with a reliable and efficient data import experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CSS
HTML
JSON
JavaScript
PostgreSQL
React

Integrations

CSS
HTML
JSON
JavaScript
PostgreSQL
React

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$99 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

QDeFuZZiner

Website

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

Vendor Details

Company Name

TableFlow

Website

tableflow.com

Product Features

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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