Compare Adabas & Natural vs. Oracle Data Masking and Subsetting in 2026

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Description

In a world characterized by rapid transformation, securing a visionary partner is essential for navigating the future. You require someone who can guide you in evolving your robust Adabas & Natural applications well into the year 2050 and further. For decades, Adabas & Natural have been your reliable backbone for achieving results. Now, envision a future where you can maximize that investment and leverage the distinctive business logic ingrained in your essential applications. We stand ready to be that partner, dedicated to facilitating the digital modernization of your legacy systems swiftly and without risks. Together, we can address the generational shift in developers, enhance your applications to reduce expenses, broaden the accessibility of your core applications, and speed up development within a cutting-edge environment. Rely on advanced Adabas & Natural technologies to streamline your IT landscape and modernize your applications quickly and safely. Embrace new opportunities with APIs, transition Adabas & Natural to the cloud, attract fresh developer talent through DevOps practices, and reduce costs by transferring mainframe workloads to zIIP. By taking these steps, you position your organization to thrive in a rapidly evolving digital landscape.

Description

The increasing risks to security and the rise of stringent privacy laws have necessitated a more cautious approach to handling sensitive information. Oracle Data Masking and Subsetting offers database users a solution to enhance security, streamline compliance efforts, and lower IT expenses by sanitizing production data copies for use in testing, development, and various other functions, while also allowing for the removal of superfluous data. This tool allows for the extraction, obfuscation, and sharing of both full copies and subsets of application data with partners, whether they are within or outside the organization. By doing so, it ensures the database's integrity remains intact, thus supporting the ongoing functionality of applications. Additionally, Application Data Modeling automatically identifies columns within Oracle Database tables that contain sensitive data through established discovery patterns, including national IDs, credit card details, and other forms of personally identifiable information. Furthermore, it can recognize and map parent-child relationships that are defined within the database structure, enhancing the overall data management process.