DataStealth vs Protegrity Vaultless Tokenization: Side-by-Side Comparison (2026)

DataStealth: Inline data protection platform for on-prem, legacy, hybrid & cloud envs. built by DataStealth. Core capabilities include Real-time agentless data discovery and classification across databases, files, APIs, SaaS, and event streams, Inline data masking, tokenization, and encryption applied as data flows, Coverage for on-premises, cloud, hybrid, legacy, mainframe, and air-gapped systems..

Protegrity Vaultless Tokenization: Data protection platform offering vaultless tokenization and multiple methods. built by Protegrity. Core capabilities include Vaultless tokenization using static token tables, Column-level data protection within databases, Static data masking for non-production environments..

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

DataStealth differentiates with Real-time agentless data discovery and classification across databases, files, APIs, SaaS, and event streams, Inline data masking, tokenization, and encryption applied as data flows, Coverage for on-premises, cloud, hybrid, legacy, mainframe, and air-gapped systems. Protegrity Vaultless Tokenization differentiates with Vaultless tokenization using static token tables, Column-level data protection within databases, Static data masking for non-production environments.

DataStealth is developed by DataStealth. Protegrity Vaultless Tokenization is developed by Protegrity. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

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