Features, pricing, ratings, and pros & cons — compared head-to-head.
DataStealth On-Premise is a commercial data masking tool by DataStealth. Vaultree Data-In-Use Encryption is a commercial data masking tool by Vaultree. Compare features, ratings, integrations, and community reviews side by side to find the best data masking fit for your security stack.
Based 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 in air-gapped or heavily regulated environments should pick DataStealth On-Premise for its ability to enforce field-level masking and tokenization without sending data outside your infrastructure. The inline gateway and sidecar deployment models work across SQL, NoSQL, Kafka, and Kubernetes, so you're not rebuilding policy for every data store; BYOK and on-prem HSM integration mean keys never leave your network. Skip this if your data lives primarily in SaaS platforms or you need a lightweight, API-first masking layer; DataStealth is built for teams managing their own infrastructure and willing to maintain a stateful proxy tier.
Vaultree Data-In-Use Encryption
Mid-market and enterprise teams handling sensitive analytics or machine learning on regulated data will get the most from Vaultree Data-In-Use Encryption because it eliminates the decryption step entirely, reducing your attack surface where data breaches actually happen. The tool's fully homomorphic encryption lets you run queries and train models on encrypted data without ever exposing plaintext, and its cryptographic audit trails map directly to NIST PR.DS and ID.AM requirements. Skip this if your team lacks crypto expertise or needs to process unstructured data at scale; the performance overhead and implementation complexity aren't worth it for basic column-level masking use cases.
On-prem data tokenization, masking & encryption for air-gapped environments.
Data-in-use encryption enabling operations on encrypted data without decryption
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Common questions about comparing DataStealth On-Premise vs Vaultree Data-In-Use Encryption for your data masking needs.
DataStealth On-Premise: On-prem data tokenization, masking & encryption for air-gapped environments. built by DataStealth. Core capabilities include Tokenization, masking, and encryption of sensitive data fields, Inline gateway/proxy deployment for real-time data transformation, Database and data-store proxy for SQL and NoSQL field-level protection..
Vaultree Data-In-Use Encryption: Data-in-use encryption enabling operations on encrypted data without decryption. built by Vaultree. Core capabilities include Fully Homomorphic Encryption (FHE), Searchable Encryption, Multi-Key Encryption..
Both serve the Data Masking market but differ in approach, feature depth, and target audience.
DataStealth On-Premise differentiates with Tokenization, masking, and encryption of sensitive data fields, Inline gateway/proxy deployment for real-time data transformation, Database and data-store proxy for SQL and NoSQL field-level protection. Vaultree Data-In-Use Encryption differentiates with Fully Homomorphic Encryption (FHE), Searchable Encryption, Multi-Key Encryption.
DataStealth On-Premise is developed by DataStealth. Vaultree Data-In-Use Encryption is developed by Vaultree. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
DataStealth On-Premise and Vaultree Data-In-Use Encryption serve similar Data Masking use cases: both are Data Masking tools, both cover Encryption. Review the feature comparison above to determine which fits your requirements.
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