DataSunrise vs PostgreSQL Anonymizer

DataSunrise is a data, AI and database security platform for protecting sensitive information across cloud, on-premises and hybrid environments. Its functions include activity monitoring and audit, data masking, a database firewall, sensitive data discovery, vulnerability assessment and data security posture management. The firewall monitors activity in real time, detects SQL injection and other malicious query patterns, and can block potential threats. Its controls include encryption, request blocking, access restrictions and SQL allow or deny lists. The company says cloud or on-premises installation uses a non-intrusive approach that leaves existing databases and applications unchanged. Published integrations span SQL and NoSQL databases, warehouses, cloud services, storage, business tools and generative AI services. Available monitoring methods vary with database, version and deployment. DataSunrise says it supports compliance efforts for SOX, HIPAA, GDPR and PCI DSS, among other frameworks. It lists Linux, Windows, web and self-hosted availability. Pricing is on request, with a personalized offer following a request; there is no free plan. A 30-day trial is listed, and the firewall page states performance impact of around 5–10%.

PostgreSQL Anonymizer is an extension for masking or replacing personally identifiable and commercially sensitive data in PostgreSQL databases. Masking rules can be written in SQL with PostgreSQL DDL and kept in the database schema. Its documented approaches include anonymous dumps, static and dynamic masking, replica masking, masking views, and data wrappers. Functions can randomize, fake, partially scramble, shuffle, add noise, generalize, or apply custom transformations. A masked role can export anonymized data through pg_dump; masking rules should then be removed from the dump. Identifier detection searches common names in English and French, but may flag non-identifiers or miss identifiers. Installation instructions cover Linux and self-hosted PostgreSQL. The extension can be built from source on macOS, without community support there; Windows use is described through PostgreSQL on WSL2, as there is no native build. Installation requires superuser privileges, so a cloud database provider must offer the extension in its catalog. The plan is free. Commercial support is available separately.