DBHawk vs Greenmask

DBHawk brings database security, management, governance and analytics into a browser-based workspace for on-premises and cloud databases. Its access controls can be role-based and fine-grained down to column-level policies; dynamic masking can hide sensitive column values from unauthorized users. A centralized audit log records SQL queries and administrative actions. For database work, DBHawk includes a browser SQL editor, query builder, charts and dashboards, plus SQL job scheduling. It supports SQL and NoSQL systems including Athena, Redshift, Cassandra, MongoDB, MySQL, Oracle, SQL Server, SAP HANA and Teradata. The platform also provides API access for provisioning database access, sharing SQL results and calling SQL. Listed identity integrations include SAML, LDAP, Okta and SSO, as well as Azure Entra, Google, CyberArk and HashiCorp. DBHawk SaaS starts at $40 a month per user, requires a minimum number of users, and includes standard support; premium support is available. A free 30-day trial is available without a credit card.

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.