DATASKOPE vs Greenmask

DATASKOPE monitors, analyzes, alerts on, and reports database activity in real time. It records who accessed sensitive data, where access came from, which transactions occurred, and when. Audit visibility can be limited by user, database, table, and command. Recorded operations include SELECT, UPDATE, DELETE, and EXEC, showing what changed and by whom. DATASKOPE tracks successful and unsuccessful logins plus administrative actions such as creating or deleting users. Predefined alarm rules classify database events and notify responsible people. Its NoSQL search engine distributes searches across nodes and is described as scaling horizontally and vertically. Audit data can be automatically backed up and archived, with geographic replication and local redundancy. The product supports multiple database engines and is presented for activity monitoring, access governance, audit reporting, and threat detection. Pricing is not published; Plainex offers contact and demo requests.

Greenmask is a free, open-source utility for logical database backups, anonymization, synthetic data generation, and restoration. It currently supports PostgreSQL, with MySQL, MongoDB, and other database support in development. Transformations can be deterministic or random, use dynamic parameters, mask data, or apply custom rules based on domains. Configuration validation can show warnings and data or schema differences, and transformation settings can be inherited across partitions of partitioned tables. Greenmask stores backups in local directories or S3-like remote storage. It supports parallel dumping and restoration, as well as parallel compression with pgzip. Its logical-dump approach does not require changes to the existing database schema, and dumps can be restored with pg_restore. CI/CD integration can automate anonymization and restoration. Greenmask runs on Linux and macOS and can be self-hosted on premises. Installation options include an install script, Docker, Homebrew, or building from source; the install script works on Linux and macOS, while Windows is not supported yet. A Docker Playground with sample databases provides a sandbox for trying the utility. The maker offers paid custom development for urgent or enterprise-specific feature requests.