DataCleaner for Linux provides a rich set of features for data profiling, data cleansing, data quality, and lightweight management. It includes searching for patterns, displaying distributions and frequencies of values, counting and weighting factors, investigating character sets, and plotting timelines of periodic data entries. It standardize values using synonyms, conform dates to a single date format, parse, extract, and normalize information using regular expressions or scripts. It supports the process of verifying and improving the data about customers and other contacts.
What's new in version 3.5
Version 3.5 has distributed execution of jobs and improved wizards and other user experience.