Mage Platform vs. OpenText Data Privacy & Protection Foundation vs. Oracle Advanced Security vs. SQL Workbench 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.

SQL Workbench/J is a free, DBMS-independent, cross-platform SQL query tool. It is written in Java and should run on any operating system that provides a Java Runtime Environment. Its main focus is on running SQL scripts (either interactively or as a batch) and export/import features. Graphical query building or more advanced DBA tasks are not the focus and are not planned. Powerful export command to write text files (aka "CSV"), XML, HTML or SQL (including BLOB data). All user tables can be exported into a directory with a single command. Export files can be compressed "on-the-fly". Powerful text, XML and spreadsheet import. A set of files (including compressed files) can be imported from a directory with a single command. Foreign key constraints are detected to insert the data in the correct order. Compare two database schemas for differences. The XML output can be transformed into the approriate SQL ALTER statements using XSLT.