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DATPROF
What it is
DATPROF is a test data management platform for development, testing, and quality assurance teams. Its Privacy, Subset, Runtime, Analyze, and Virtualize modules cover masking, synthetic data, extraction, provisioning, monitoring, and delivery. Privacy masks test data while preserving representative characteristics and includes more than 50 synthetic generators in different languages. Subset extracts selected production data while retaining referential integrity. Runtime adds self-service provisioning, scheduling, monitoring, and REST API automation. DATPROF can run on premise or in the cloud, with data remaining in database domains during masking. Native integrations include Oracle, Microsoft SQL Server, DB2 iSeries, DB2 LUW, PostgreSQL, EDB, MySQL, and MariaDB. Supported flat files include CSV, Fixed Length, Recursive Fixed Length, and XML. DATPROF says masking can support GDPR, PCI, and HIPAA requirements. Its security program aligns with ISO 27001 principles and includes SAST, dependency scanning, and DAST. Pricing is available on request, and a free trial is offered.
For and against
For
- Masking preserves representative data characteristics
- More than 50 synthetic generators
- Referentially intact database subsetting
- REST API and scheduled automation
- Free trial available
Against
- Pricing is available only on request
- Designed especially for complex enterprise environments
- Masking and compliance capabilities require implementation work
- No listed free plan
The verdict
DATPROF provides modular controls for protecting, shaping, and delivering test data across databases and files. Its broad deployment and automation options fit enterprise QA programs, while pricing requires a request.
Who it suits
DATPROF suits enterprise teams handling complex or regulated environments where production data cannot simply be copied into non-production systems. It supports on-premise, cloud, API, Linux, Windows, and web deployment options.
Plans and prices
Custom pricing
pricing independent of database size · projects from 500GB to 100TB · modular fixed license
Read 30 Sep 2026 · datprof.com
On the record
- Automation
- DATPROF Runtime provides self-service provisioning, scheduling, monitoring and REST API automation.datprof.com · read 30 Sep 2026
- Compliance
- DATPROF states that masking can support GDPR, PCI and HIPAA compliance requirements.datprof.com · read 30 Sep 2026
- Core modules
- The platform includes Privacy, Subset, Runtime, Analyze and Virtualize modules.datprof.com · read 30 Sep 2026
- Database integrations
- Native database support includes Oracle, Microsoft SQL Server, DB2 iSeries, DB2 LUW, PostgreSQL, EDB, MySQL and MariaDB.datprof.com · read 30 Sep 2026
- Data masking
- DATPROF Privacy masks test data and generates synthetic data while preserving representative characteristics.datprof.com · read 30 Sep 2026
- Deployment model
- DATPROF can be used on premise or in the cloud, and data remains in the database domains during masking.datprof.com · read 30 Sep 2026
- File formats
- DATPROF supports flat file types including CSV, Fixed Length, Recursive Fixed Length and XML.datprof.com · read 30 Sep 2026
- Purpose
- DATPROF is a test data management platform for creating, protecting, automating and delivering test data for development, testing and QA.datprof.com · read 30 Sep 2026
- Security program
- DATPROF’s security program is aligned with ISO 27001 principles and includes SAST, dependency scanning and DAST in its development process.datprof.com · read 30 Sep 2026
- Subsetting
- DATPROF Subset extracts selected, referentially intact data from production databases for test environments.datprof.com · read 30 Sep 2026
- Support
- DATPROF provides a service desk portal, email support and a documentation knowledge base.datprof.com · read 30 Sep 2026
- Synthetic generators
- DATPROF Privacy includes more than 50 built-in synthetic data generators with different languages.datprof.com · read 30 Sep 2026
- Target users
- DATPROF is especially aimed at enterprise teams working with complex, regulated environments where production data cannot simply be copied to non-production environments.datprof.com · read 30 Sep 2026
