Features, pricing, ratings, and pros & cons — compared head-to-head.
DataStealth Cloud Deployment is a commercial data masking tool by DataStealth. DataStealth On-Premise is a commercial data masking tool by DataStealth. 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:
Enterprise and mid-market teams that need data masking across multiple cloud providers will get real value from DataStealth Cloud Deployment because it handles tokenization and encryption at ingestion time, before data ever lands in your database. The tool covers all four major cloud platforms natively (AWS, Azure, GCP) with BYOK/HYOK key management, and its policy-as-code governance with approval gates actually enforces what your compliance team writes instead of sitting in a wiki. Skip this if your primary concern is data discovery and classification; DataStealth assumes you already know where sensitive data lives, and treats discovery as a secondary feature to the masking engine itself.
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.
Cloud-native data tokenization, masking & encryption for AWS, Azure, and GCP.
On-prem data tokenization, masking & encryption for air-gapped environments.
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Common questions about comparing DataStealth Cloud Deployment vs DataStealth On-Premise for your data masking needs.
DataStealth Cloud Deployment: Cloud-native data tokenization, masking & encryption for AWS, Azure, and GCP. built by DataStealth. Core capabilities include Tokenization of sensitive data fields at point of ingestion, Dynamic data masking with role-based visibility controls, Field-level encryption before database storage..
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..
Both serve the Data Masking market but differ in approach, feature depth, and target audience.
DataStealth Cloud Deployment differentiates with Tokenization of sensitive data fields at point of ingestion, Dynamic data masking with role-based visibility controls, Field-level encryption before database storage. 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.
DataStealth Cloud Deployment is developed by DataStealth. DataStealth On-Premise is developed by DataStealth. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
DataStealth Cloud Deployment integrates with AWS KMS, Azure Key Vault, GCP KMS, Amazon RDS, Amazon DynamoDB and 13 more. DataStealth On-Premise integrates with Kubernetes, Kafka, CIFS, NFS, S3-compatible object stores and 8 more. Check integration compatibility with your existing security stack before deciding.
DataStealth Cloud Deployment and DataStealth On-Premise serve similar Data Masking use cases: both are Data Masking tools, both cover Tokenization, Encryption. Review the feature comparison above to determine which fits your requirements.
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