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Test data masking and synthetic data generation for privacy
Updated
DATPROF Privacy is the data masking and synthetic test data generation module of the DATPROF test data management platform. It anonymizes personally identifiable information in copies of production data so teams can test with realistic data that no longer exposes real people, while preserving data structure and relationships.
Software testers, DevOps teams and data protection officers at organizations that need production-like test data without exposing personal information use DATPROF Privacy. It suits regulated sectors where test environments must comply with privacy rules such as GDPR.
DATPROF does not publish pricing for Privacy on its website. The company directs prospects to request a demo or take a test drive, and pricing is quoted based on the environment and the number of databases involved.
Common alternatives to DATPROF Privacy include Delphix, Informatica Test Data Management and K2view. The right choice depends on required features, deployment model, integrations and budget, so compare shortlisted tools against your own requirements.
Pricing Model
QUOTE BASED
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
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