Data Profiling/Data Discovery Software Directory
Definition: Data Profiling and Data Discovery products provide a range of supporting functions to data quality initiatives such as rule discovery, statistical profiling, relationship discovery, dependency analysis and metadata extraction.
Ataccama Data Quality Center
(DQC) provides a consistent, comprehensive tool that will allow you to address the full range of data quality issues—from data cleansing to matching—and prevent incorrect or incomplete data from gaining future entrance into your systems.
Experian Data Quality Platform
The Experian Data Quality Platform’s Data Profiling capability can help you understand how extensive and persuasive your data quality issue really is. Taking organisations beyond verbal and circumstantial evidence of a problem, and into actual analytical evidence. Data profiling technology not only provides the evidence of poor quality data, but also provides food for thought when it comes to investigating why issues occur. Using the findings from the Data Quality Platform, further investigation can be carried out into people, process and technology to truly eliminate the problem at source.
Pandora is a next generation data quality solution that features unique data profiling and data discovery capabilities such as full-volume data profiling, automated relationship discovery across hundreds of systems, global content and metadata search facility, scalability to massive data volumes and a unique data prototyping capability.
"For its architecture (which includes performance), we rate Pandora best in the market." - Bloor Research Data Profiling and Data Discovery Market Update.
Load and Profile Data (in 88 seconds)
Relationship Discovery (in 88 seconds)
Uniserv - Data Quality Explorer
Uniserv Data Quality Explorer is the tool for the carrying out data profiling tasks. You use Data Quality Explorer to investigate the actual state of your data, e.g. before transfer to other systems, in migrations or before the start of larger data quality projects. However, the Data Quality Explorer can not only track down errors, anomalies, inconsistencies and much more in your databases, but also assist in improving the data quality. In this regard, it has a function for composing and following up projects, the so-called problem management. The Explorer is used e.g. for the analysis of financial, transaction, statistical or order data.