BizDataX is a tool designed specifically to find and mask personal and sensitive data. It provides quality test data for safe secondary usage (testing, development, etc.).
BizDataX is a data masking and test data management tool that produces production quality test data for safe secondary usage. It provides complete data masking support and various core functionalities for different business environments. These include sensitive data discovery, data masking and pseudonymization, database and file masking, synthetic data generation, data subsetting, etc. Important aspects like format preserving masking and referential integrity are a part of the tool. BizDataX connects to any relational database accessible .NET (Oracle, DB2, MS SQL, Postregress, MySQL) or files (CSV, XML or custom files). Large quantities of data can be masked in short period of time, with processing speed of up to 1 billion records per hour. The tool is also reasonably priced, which means clients pay only for the services they need, without buying a larger suite of products first, such as ETL tools.
BizDataX currently scores 81/100 in the Cyber & Data Security category. This is based on user satisfaction (88/100), press buzz (31/100), recent user trends (falling), and other relevant information on BizDataX gathered from around the web.
The score for this software has declined over the past month. What is this? |
Discovery of sensitive data in legacy databases and tables
Specification of masking rules using masking algorithms (name, address, credit card numbers, social security numbers and many more)
Database and file masking
Synthetic data generation in case production data is not available
Data subsetting for creating smaller and fully functional testing databases
Format preserving masking
Referential integrity
Processing speeds of around 1 billion records per hour
Connection to Oracle, DB2, MS SQL and Informix relational databases
Windows.
Yes
Yes
Possible integrations include CRMs, test automation tools, etc.
Testing departments and IT managers that have to comply with data protection policies such as GDPR, PCI DSS, HIPAA, etc. Others users include marketing departments and business analysts. Everyone that needs quality data for secondary purposes - financial industry, logistic companies, health care institutions, public services, telecom providers, etc.
Yes
To mask sensitive user data that is a part of almost any user profile - names, addresses, credit card numbers, social security numbers, taxpayer identification, etc.
Microsoft Visual Studio.