Data quality tools for Ingres

Data quality tools measure how good and useful a data set is to serve its intended purpose. High quality data can lead to better decision-making and faster insights as well as reduce the costs of identifying and dealing with bad data in the system. It can also save time and allow companies to focus on more important tasks.

DataCleaner

DataCleaner is a premier open source data quality solution. The heart of DataCleaner is a strong data profiling engine for discovering and analyzing the quality of your data. Find the patterns, missing values, character sets, and other characteristics of your data values.

Commercial: Free
Data cleansing: Yes
Data Discovery & Search: Yes
Data Profiling: Yes
Data standarization: No
Free edition: Yes

Talend Data Quality

As an integral part of Talend Data Fabric, Talend Data Quality profiles, cleans, and masks data in real time. It lets you quickly identify data quality issues, discover hidden patterns, and spot anomalies through summary statistics and graphical representations.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: No
Data Profiling: Yes
Data standarization: Yes
Free edition: No


Data quality tools are the scripts that support the data quality processes and they heavily rely on identification, understanding, and correction of data errors. Data quality tool enhances the accuracy of the data and helps to ensure good data governance all across the data-driven cycle.

The common functions that each data quality tools must perform are:

• Data profiling
• Data monitoring
• Parsing
• Standardization
• Data enrichment
• Data cleansing

Choosing the right data quality tool is essential and impacts the final results. To help you with the right selection, we prepared a list of tools that will assist you with maintaining a high level of data quality.