Imperva Data Masking (Legacy) Alternatives

Microsoft sql server is a solid relational database product. It is continually being updated and best product for our data masking needs

Our experience with MageData has been outstanding, the team demonstrated strong technical expertise, quick response, and excellent support throughout the engagement. Additionally, they gave excellent training & strong support during the POC which gave us the confidence that we can independently handle the implementation. We look forward to continued collaboration We have also successfully implemented the Mage data masking solution for a leading Kenya bank with smooth performace.Excellent support from the Mage team, backed by strong technical capability & easy to use platform.

Azure SQL Server has been a reliable alternative database solution which gives us more flexibility than traditional on site databases.

My experience with Oracle enterprise manager was positive. It offers robust centralized monitoring capabilities of databases and middleware along with the server, which helps the user to have good oversight of the system performance and helps to identify issues.

Informatica Cloud data masking offers various techniques to protect sensitive data. With the help of their format-preserving technique, without changing the format, we protected the data. Additionally, their dynamic data discovery technique identified most of the sensitive data fields. Overall, I can say Informatica is a comprehensive solution with a robust and user-friendly experience in anonymizing data.

voltage secure data enterprise has been highly positive primarily driven by its robust format preserving encryption and stateless key management .It has allowed us to secure sensitive PII and PCI data at ingestion without breaking downstream applications.

The Delphix team does a good job of keeping in touch and support us with out questions concerning their product.

CA Test Data Management tool provides realistic test data for the testing environment. Helps in provisioning test data across multiple non-production environments efficiently.