DATPROF

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Software Status:Active

About DATPROF

DATPROF is a data management software from DATPROF that focuses on data masking and test data generation. It provides data masking, synthetic data generation, and data virtualization so organizations can ensure data privacy and compliance while developing applications. The software allows users to create realistic datasets that do not expose sensitive information, supporting various data formats and sources. DATPROF integrates easily with existing systems and can automate the generation process to reduce manual effort. Key capabilities: data masking test data generation data virtualization compliance reporting automation features Best for: organizations that need to manage sensitive data while developing software applications.

DATPROF Details

Vendor

DATPROF

Year Launched

2003

Location

Friesestraatweg 213b 9743 AD Groningen, The Netherlands

Deployment

cloud

Training Options

documentation, videos, live online, in person

Countries Served

All Countries

Languages

English, German, French, Spanish, Dutch

Users

Software Developers, QA Engineers, Test Automation Engineers, Database Administrators (DBAs), DevOps Engineers, Data Privacy Officers, IT Compliance Officers, Test Data Managers, IT Consultants, System Integrators

Industries Served

Banking, Financial Services, Insurance, Healthcare, Government, Food & Beverage, Telecommunications, Retail, Manufacturing, Transportation and Logistics

DATPROF's In-App Market Place

Does DATPROF have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NOK (kr), DKK (kr), HKD (HK$)

Pros & Cons

Cross-Platform Compatibility: Works seamlessly across Oracle, SQL Server, DB2, and PostgreSQL.
Powerful Data Masking & Depersonalization: Enables GDPR/AVG compliance with user-defined translation tables and consistent data anonymization.
Subset Creation: Allows test teams to generate consistent, tailored data subsets using DATPROF Subset.
Synthetic-Like Testing: Maintains production data structure while safely depersonalizing for testing.
Modular and Scalable: Easy to implement in phases and adapt to different environments.
Developer-Friendly Interface: Clear, intuitive UI with helpful performance tuning options (especially for Oracle).
Supportive Vendor: Responsive team, open to feature suggestions, and offers practical customer guidance.

Initial Tuning Required: Especially in Oracle environments, performance tuning may require deep technical knowledge.
Repetitive Configuration for Masking Rules: Reuse of similar rules across large databases may involve some manual effort.
Not Yet Supporting Some Databases: Informix and Sybase are currently not supported.
Small Development Team: As a smaller company, product roadmap decisions can be impacted by limited resources.