Protegrity Data Protection vs Randtronics DPM easyData: Side-by-Side Comparison (2026)

Protegrity Data Protection: Field-level data protection platform with tokenization, encryption & masking. built by Protegrity. Core capabilities include Field-level tokenization with vaultless architecture, AES symmetric encryption for sensitive data fields, Static and dynamic data masking based on policy rules..

Randtronics DPM easyData: Field-level data protection via encryption, masking & tokenization for DBs and files. built by Randtronics. Core capabilities include Field-level encryption, format-preserved encryption, masking, tokenization, anonymization, and pseudonymization, No-code database FLP via Database Connector (MS SQL, Oracle), No-code agentless database FLP via Database Clientless (MS SQL, MariaDB, PostgreSQL, MySQL, Oracle)..

Both serve the Data Masking market but differ in approach, feature depth, and target audience.

Protegrity Data Protection differentiates with Field-level tokenization with vaultless architecture, AES symmetric encryption for sensitive data fields, Static and dynamic data masking based on policy rules. Randtronics DPM easyData differentiates with Field-level encryption, format-preserved encryption, masking, tokenization, anonymization, and pseudonymization, No-code database FLP via Database Connector (MS SQL, Oracle), No-code agentless database FLP via Database Clientless (MS SQL, MariaDB, PostgreSQL, MySQL, Oracle).

Protegrity Data Protection is developed by Protegrity. Randtronics DPM easyData is developed by Randtronics. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Protegrity Data Protection integrates with Snowflake, BigQuery, Redshift. Randtronics DPM easyData integrates with Microsoft SQL Server, Oracle Database, MariaDB, MySQL, PostgreSQL and 3 more. Check integration compatibility with your existing security stack before deciding.

Protegrity Data Protection and Randtronics DPM easyData serve similar Data Masking use cases: both are Data Masking tools, both cover Encryption, Tokenization, PII. Review the feature comparison above to determine which fits your requirements.