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Open Source Data Quality Products

 

This page provides lots of resources to help our members and visitors stay up to date on all the latest open source products, updates, news and community.

If you have an open source product information that you would like to share with us just click here.

 

Eobjects DataCleaner


Products: DataCleaner / MetaModel

Website: http://eobjects.org/datacleaner

Licensing: Free

Organisation: Eobjects

Blogs: http://kasper.eobjects.dk/

Download: http://eobjects.org/trac/wiki/GetDataCleaner, http://code.google.com/p/metamodel/downloads/list

DataCleaner: From Website: "An open source project concerned with creating a data quality solutions for business and organizations wishing to measure and increase the quality of their data. DataCleaner includes functionality to profile and compare data, to validate data against business rules and to monitor the progression of these measurements over time. To do this we provide you with both a standalone desktop-application for exploring and defining the data quality effort and a web application for continuous data quality deployments. 

DataCleaner is based upon the MetaModel data access framework, which provides uniform querying capabilities to different datastores. "

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Talend Open Profiler


Product: Open Profiler

Website: http://www.talend.com/products-data-quality/talend-open-profiler.php

Licensing: Free

Organisation: Talend

Blogs: http://www.talend.com/blog/, http://scorreiait.wordpress.com/

Download: http://www.talend.com/download.php?src=ProductPageTOP

 

From Website: "Talend Open Profiler is a sophisticated yet simple-to-use data profiler. It allows business users or data management staff to define a set of indicators for each data element that needs to be analyzed or monitored. These indicators can range from simple or advanced statistics to text strings analysis, including summary data and statistical distributions of records.

Talend Open Profiler produces sophisticated reports and graphs that let users gauge at a glance the level of quality of the data, and the status of the indicators that were defined."

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