In today’s enterprise landscape, data environments are rarely one-size-fits-all. Organizations work with a wide variety of database technologies. Ensuring consistent data protection across all of these environments is a challenge.
With the release of DATPROF Privacy 4.23, we are taking a significant step forward in addressing that challenge.
Most organizations rely on relational databases that DATPROF already supports natively. However, some businesses operate SQL-based databases that fall outside the standard set, whether due to legacy systems, regional preferences, or domain-specific requirements. Until now, this meant those databases could not benefit from DATPROF’s masking and data generation capabilities.
This gap posed a real business risk. Without consistent data masking across all systems, sensitive data in less common databases could remain exposed, undermining compliance efforts and data governance policies.
DATPROF Privacy 4.23 introduces support for additional JDBC-compatible databases through a project-based implementation. Using a tailored approach delivered by one of our solution engineers, organizations can now extend DATPROF’s masking and data generation capabilities to virtually any SQL-based, JDBC-compatible database.
This is not a generic workaround, it is a structured, professional implementation that ensures your specific database environment integrates seamlessly with DATPROF’s core platform. The result is the same high-quality masking and data generation your teams already rely on, now available for a broader range of technologies.
This update delivers several key business benefits:
What makes this extension powerful is that it builds directly on top of DATPROF’s existing masking and generation engine. The same technology trusted by organizations across industries for reliable, high-performance data protection.
There is no learning curve or parallel toolset to manage. Your teams continue using the DATPROF platform they know, with expanded coverage.
If your organization is working with a SQL-based, JDBC-compatible database that is not currently supported natively by DATPROF, we want to help. Our solution engineers are ready to assess your environment and design a tailored implementation that fits your needs.
Reach out to the DATPROF team today to learn more about JDBC database support and find out how we can extend data masking and generation capabilities to your entire data landscape.