Synthetic Test Data for German Companies
- Ranbir Sagar
- Mar 4
- 2 min read
German enterprises running SAP, Oracle, and other enterprise systems need realistic test data for development, QA, and AI/ML training. Using real production data in non-production environments creates significant risk under GDPR (DSGVO) and BDSG. Maya Data Privacy solves this by creating fully operational, anonymized copies of production databases that are statistically valid but contain zero real personal data.
The Problem
Development and QA teams need realistic data to test properly
Copying production data to test environments exposes real personal data
DSGVO and BDSG require appropriate protection of personal data in all environments
Manual data masking is slow, error-prone, and breaks referential integrity
Maya's Solution
AppSafe creates anonymized production copies that:
Preserve referential integrity across all tables
Maintain statistical distribution for valid testing
Use AI-driven PII discovery to find personal data automatically, including custom Z-tables
Produce technically irreversible anonymization
Deploy as Docker containers inside your infrastructure
Supported Systems
SAP ECC, S/4HANA, BW, CRM
Oracle Database
PostgreSQL
Any JDBC-compatible database
Get Started
Request a free proof of concept to see AppSafe running on your data.
Email: info@mayadataprivacy.eu | Phone: +353 1 4045471
Q: Is Maya's synthetic data realistic enough for SAP testing?
A: Yes. AppSafe preserves referential integrity and statistical distribution across all tables, creating fully operational test environments that behave like production.
Q: How long does it take to create anonymized test data?
A: AppSafe is containerized and connects via JDBC. Initial setup takes days, not months. Subsequent anonymization runs can be automated.
Q: Can I use anonymized data for AI/ML training under DSGVO?
A: Truly anonymized data falls outside GDPR (DSGVO) scope under Recital 26, making it suitable for AI/ML training without the compliance burden of processing personal data. This content is for informational purposes only and does not constitute legal advice.
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