Features, pricing, ratings, and pros & cons — compared head-to-head.
DataStealth is a commercial data masking tool by DataStealth. Sarus is a commercial data masking tool by Sarus. 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 fragmented infrastructure,on-prem databases, cloud APIs, legacy mainframes, and SaaS together,should evaluate DataStealth for its agentless inline masking that actually works across those disparate environments without forcing rip-and-replace. The platform covers all four NIST asset and data security functions (ID.AM, ID.RA, PR.DS, DE.CM) and deploys via gateway or proxy rather than requiring agents on every system, which matters when you're dealing with air-gapped or mainframe systems that block typical tooling. Skip this if your primary concern is detection and response; DataStealth prioritizes classification and protection over behavioral anomaly hunting.
Data teams that need to run analytics and machine learning on sensitive data without building separate sanitized datasets should evaluate Sarus. It enforces privacy policies directly on queries in real time and rewrites them automatically, which means analysts get usable results without exposing raw PII; the approach addresses both PR.AA access control and PR.DS data security in a single layer. Skip this if you're looking for a traditional data masking tool that handles structured PII in data warehouses; Sarus is built for hybrid query environments across SQL, pandas, and scikit-learn, which makes it heavier to deploy but far more flexible for modern analytics workflows.
Inline data protection platform for on-prem, legacy, hybrid & cloud envs.
Privacy layer enabling data analytics & AI without exposing raw data.
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Common questions about comparing DataStealth vs Sarus for your data masking needs.
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..
Sarus: Privacy layer enabling data analytics & AI without exposing raw data. built by Sarus. Core capabilities include Privacy policy enforcement on queries in real time, Automatic query rewriting with privacy guarantees, Synthetic data generation..
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. Sarus differentiates with Privacy policy enforcement on queries in real time, Automatic query rewriting with privacy guarantees, Synthetic data generation.
DataStealth is developed by DataStealth. Sarus is developed by Sarus. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
DataStealth and Sarus serve similar Data Masking use cases: both are Data Masking tools. Review the feature comparison above to determine which fits your requirements.
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