Tool Download

Database-Cleaner

Find Duplicate Records & Clean Up Your Lists

Tool Name:

Database-Cleaner

Tool Version: 1.2

Tool Type: Demo

Tool Cost In: 499 US$

Tool Target Platform:

Tool OS Support: WinXP,WinVista,Win7 x32,Win7 x64,WinServer,Windows 8

Limitations: Export is only available in the registered version

Tool Info URL: Click to view

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Short Description:
Use Database Cleaner for data cleaning and removing duplicate records. It has an intuitive interface that shows the modifications you are making in real time.

Long Description 1:
Database Cleaner will help you find and remove duplicate records and standardize your database list, you can easily match 2 separate database lists. Find incorrect email ids and correct them automatically, standardize database with proper case and remove invalid characters. DB Cleaner ensures that all the duplicate records are removed and the data is cleaned and well formatted.

Long Description 2:
Database Cleaner will help you find and remove duplicate records and standardize your database list, you can easily match 2 separate database lists. Find incorrect email ids and correct them automatically, standardize database with proper case and remove invalid characters. DB Cleaner ensures that all the duplicate records are removed and the data is cleaned and well formatted. Database Cleaner has been designed very carefully by a team of experts and professionals, who wanted to design a software which is not only the perfect tool for IT professionals, but for novice users as well, and they came up with Database Cleaner. If you manually try to do what it does, it will not only consume a lot of time but will prove to be costly as well. On the other hand, DB Cleaner can do the job and save your time, and that too with professionalism guaranteed. 5 special settings to clean and standardize your data 1) Find Duplicate Records within the list. 2) Match Two Separate Database Lists 3) Email Cleaner to find and correct invalid email ids. 4) Clean Up The Database From Improper Text 5) Find Out Missing Data