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DATPROF

datprof.com

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Spec score 7.9 #7 of 26 in Data Masking Software

What it is

DATPROF is a test data management platform for creating, protecting, automating and delivering data for development, testing and QA. Its modules cover privacy, subsetting, runtime, analysis and virtualization. Privacy masks test data and creates synthetic data while retaining representative characteristics, with more than 50 built-in generators supporting different languages. Subset extracts selected production data for test environments while preserving relationships. Runtime supports self-service provisioning, scheduling, monitoring and REST API automation. DATPROF can be deployed on premise or in the cloud, and says data stays in its database domains during masking. Native database support includes Oracle, Microsoft SQL Server, DB2 iSeries, DB2 LUW, PostgreSQL, EDB, MySQL and MariaDB. Supported flat file formats include CSV, Fixed Length, Recursive Fixed Length and XML. DATPROF says its masking can support GDPR, PCI and HIPAA requirements. Its security program aligns with ISO 27001 principles and includes SAST, dependency scanning and DAST in development. Support is available through a service desk portal, email and a documentation knowledge base. Pricing is available on request, and a free trial is listed.

Spec sheet

Purpose
DATPROF is a test data management platform for creating, protecting, automating and delivering test data for development, testing and QA.Read 30 Sep 2026 · datprof.com
Compliance
DATPROF states that masking can support GDPR, PCI and HIPAA compliance requirements.Read 30 Sep 2026 · datprof.com
Support
DATPROF provides a service desk portal, email support and a documentation knowledge base.Read 30 Sep 2026 · datprof.com
Automation
DATPROF Runtime provides self-service provisioning, scheduling, monitoring and REST API automation.Read 30 Sep 2026 · datprof.com
Core modules
The platform includes Privacy, Subset, Runtime, Analyze and Virtualize modules.Read 30 Sep 2026 · datprof.com
Data masking
DATPROF Privacy masks test data and generates synthetic data while preserving representative characteristics.Read 30 Sep 2026 · datprof.com
Database integrations
Native database support includes Oracle, Microsoft SQL Server, DB2 iSeries, DB2 LUW, PostgreSQL, EDB, MySQL and MariaDB.Read 30 Sep 2026 · datprof.com
Deployment model
DATPROF can be used on premise or in the cloud, and data remains in the database domains during masking.Read 30 Sep 2026 · datprof.com
File formats
DATPROF supports flat file types including CSV, Fixed Length, Recursive Fixed Length and XML.Read 30 Sep 2026 · datprof.com
Security program
DATPROF’s security program is aligned with ISO 27001 principles and includes SAST, dependency scanning and DAST in its development process.Read 30 Sep 2026 · datprof.com
Subsetting
DATPROF Subset extracts selected, referentially intact data from production databases for test environments.Read 30 Sep 2026 · datprof.com
Synthetic generators
DATPROF Privacy includes more than 50 built-in synthetic data generators with different languages.Read 30 Sep 2026 · datprof.com
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.Read 30 Sep 2026 · datprof.com

Plans and prices

Custom pricing Priced on request pricing independent of database size · projects from 500GB to 100TB · modular fixed license Read 30 Sep 2026 · datprof.com

Every DATPROF plan and price →

Strong points and limits

Strong points

  • Masks data and generates synthetic alternatives.
  • Subset preserves relationships in extracted data.
  • Runtime supports REST API automation.
  • Available on premise or in the cloud.

Limits

  • Pricing is available on request.
  • Designed especially for enterprise teams with complex environments.

Who it suits

DATPROF is aimed especially at enterprise teams in complex or regulated environments where production data cannot simply be copied into non-production systems.

Verdict

DATPROF brings masking, subsetting and provisioning into a platform with broad database and file support. Teams should request pricing and check that their database and deployment needs fit.

Where Specifiction places it

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