Protegrity Data Protection vs Themis: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
Protegrity Data Protection is a commercial data masking tool by Protegrity. Themis is a free data masking tool. Compare features, ratings, integrations, and community reviews side by side to find the best data masking fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Mid-market and enterprise teams protecting sensitive data across cloud data warehouses will get the most from Protegrity Data Protection because its vaultless tokenization architecture eliminates the operational burden of managing separate encryption key infrastructure. The platform's field-level protection works natively with Snowflake, BigQuery, and Redshift without proxy overhead, and its role-based masking applies data policies consistently across static and dynamic access patterns. Skip this if your primary need is masking test data for developers; Protegrity's pricing and deployment complexity are overkill for that use case alone.
Development teams building applications that handle sensitive authentication data or need encryption primitives without vendor lock-in should start with Themis. It's open-source with 1,954 GitHub stars and provides cryptographic services across authentication, storage, and messaging in a single library, letting you avoid piecing together multiple dependencies. The tradeoff: Themis is a low-level building block, not a managed data masking platform; it requires engineering effort to integrate and won't give you the policy engine or compliance reporting that off-the-shelf data masking tools provide.
