Version 5 extends DataVeil’s database-agnostic static data masking solution to PostgreSQL and PostgreSQL-compatible platforms such as Amazon Aurora PostgreSQL and Google AlloyDB.
DataVeil Technologies has released DataVeil Version 5, adding support for PostgreSQL and extending its static data masking solution to one of today’s fastest-growing database ecosystems.
With Version 5, organizations can now use DataVeil to mask sensitive data in PostgreSQL and PostgreSQL-compatible platforms such as Amazon Aurora PostgreSQL and Google AlloyDB. The new support is delivered through the same database-agnostic DataVeil workflow already used for SQL Server, Azure SQL Database / Managed Instance, Oracle, and MySQL.
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DataVeil is designed for static data masking that permanently replaces sensitive data in a copy of a production database so the data can be used more safely in development, testing, QA, analytics, training, support and other non-production environments.
“PostgreSQL is continuing to gain momentum across enterprise environments, and organizations need safe, realistic data for non-production use,” said Terry Swiatkiwsky, Director of DataVeil Technologies. “DataVeil Version 5 brings enterprise-grade static data masking to PostgreSQL, making it easier for organizations to protect sensitive data without adding complexity to development, testing, and migration projects.”
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DataVeil Version 5 addresses the capabilities organizations prioritize in a static data masking solution, including:
- Consistent masking across related data
- Preservation of referential integrity
- Realistic masked values for useful testing
- Format-preserving masking
- Sensitive data discovery support
- Project-based masking definitions
- Reusable masking components across multiple projects
- Command-line automation for repeatable execution
- A consistent user experience across multiple DBMS platforms
A key benefit of DataVeil is its database-agnostic design. Users work with the same masking concepts and project structure across supported databases, making it easier to standardize masking practices across mixed environments.
This also makes DataVeil especially valuable for organizations migrating to PostgreSQL. Existing masking definitions used for SQL Server, Azure SQL, Oracle, or MySQL can be easily switched to PostgreSQL, avoiding migration issues with tools that require a different approach for each database platform.
DataVeil has been in general release since 2013 and is focused on helping organizations protect sensitive data while keeping non-production data realistic and usable.
