OpenText Data Privacy & Protection Foundation vs. Oracle Advanced Security vs. Oracle Data Masking and Subsetting vs. EDB Postgres Advanced Server Comparison Chart

OpenText Data Privacy & Protection Foundation (Voltage) provides organizations with quantum-ready, format-preserving security that protects sensitive data without disrupting workflows or analytics. It helps companies meet evolving regulatory requirements by securing information at rest, in motion, and in use across hybrid and cloud environments. With NIST-standardized Format-Preserving Encryption and stateless key management, the platform delivers high-performance protection at enterprise scale. Its persistent data security approach ensures that sensitive information remains safeguarded throughout its lifecycle, even as it moves across systems and analytics platforms. Trusted globally across more than 50 countries, the solution is relied on by major financial, healthcare,& retail organizations to secure billions of daily data events. By combining proven cryptography with flexible integrations, OpenText enables organizations to reduce breach risk while maintaining operational agility.

The growing security threats and ever-expanding privacy regulations have made it necessary to limit exposure of sensitive data. Oracle Data Masking and Subsetting helps database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by easily discarding unnecessary data. Oracle Data Masking and Subsetting enables entire copies or subsets of application data to be extracted from the database, obfuscated, and shared with partners inside and outside of the business. The integrity of the database is preserved assuring the continuity of the applications. Application Data Modeling automatically discovers columns from Oracle Database tables containing sensitive information based on built-in discovery patterns such as national identifiers, credit card numbers, and other personally identifiable information. It also automatically discovers parent-child relationships defined in the database.