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DATPROF

DATPROF is a test data management platform for preparing data used in development, testing and QA.

Place
#12 of 26
Score
5.9
DATPROF's website

What DATPROF is

DATPROF is a test data management platform for preparing data used in development, testing and QA. Its Privacy module masks test data and creates synthetic records while retaining representative characteristics; it includes more than 50 generators with different languages. Subset selects data from production databases for test environments while preserving relationships. Runtime supports self-service provisioning, scheduling, monitoring and REST API automation. Analyze and Virtualize are also included modules. DATPROF runs on premise or in the cloud, and data remains in database domains during masking. Native database support covers 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 masking can support GDPR, PCI and HIPAA requirements. Its security program follows ISO 27001 principles and includes SAST, dependency scanning and DAST in development. Pricing is on request, and a free trial is available.

Good

  • More than 50 synthetic data generators
  • Subsetting preserves referential integrity
  • Runtime automates provisioning through REST APIs
  • Can be deployed on premise or in the cloud
  • Free trial is available

Watch out

  • Pricing is available only on request
  • Custom pricing plan has no listed price

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. It may suit teams that need database subsetting, masking or automated test-data delivery.

Verdict

DATPROF brings masking, synthetic data generation, subsetting and provisioning into one test-data platform. Teams evaluating it should confirm pricing and database or file-format fit for their environment.

Plans and prices

From DATPROF's own pricing page, checked 30 Sep 2026.

All about pricing
PlanPriceWhat it gives you
Custom pricingPriced on requestpricing independent of database size · projects from 500GB to 100TB · modular fixed license

The facts

Each one read from DATPROF's own pages, with the date it was checked.

What it does

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

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