What is DATPROF used for?

DATPROF is used to mask, subset, analyze, and provision test data so development and QA teams can test safely with realistic data.

Who should use DATPROF?

DATPROF suits QA engineers, developers, DevOps teams, and data privacy officers in regulated organizations that need compliant copies of production data.

Can DATPROF generate synthetic test data?

Yes. DATPROF Privacy supports data masking and synthetic data generation, giving teams realistic test values without exposing real personal information.

Which databases does DATPROF support?

DATPROF works with common relational databases including Oracle, SQL Server, DB2, and PostgreSQL. Informix and Sybase are not supported.

What are the best alternatives to DATPROF?

Popular alternatives include Delphix, K2view, Tonic.ai, and Broadcom Test Data Manager, each offering masking, subsetting, or synthetic data capabilities.

DATPROF Reviews, Features & Alternatives

Overview

What is DATPROF?

DATPROF is a test data management platform that helps teams get privacy-safe, realistic test data into development and test environments. Its modules cover sensitive data discovery and classification, data masking, synthetic data generation, database subsetting that keeps relationships intact, database virtualization, and a Runtime portal for scheduling and self-service provisioning. QA engineers, developers, DevOps teams, and data teams in regulated sectors such as banking, insurance, healthcare, and government use DATPROF to test with compliant copies of production data.

Best for

QA EngineersSoftware DevelopersDevOps TeamsTest Data ManagersData Privacy Officers

Product snapshot

Category: Data Discovery & Exploration
Best for: Regulated enterprise QA teams
Deployment: On-premise
Free trial: Yes
Integrations: Oracle, SQL Server, DB2, PostgreSQL
AI features: No

Key features

Key features of DATPROF

Data masking

Pseudonymize sensitive production data consistently across connected databases and applications.

Database subsetting

Create smaller test databases while keeping referential relationships between tables intact.

Sensitive data analysis

Find and classify personal and sensitive data before it reaches test environments.

Synthetic data generation

Generate realistic artificial test data where production data cannot be used.

Database virtualization

Refresh and restore virtual database copies quickly for parallel test teams.

Runtime self-service portal

Schedule, run, and monitor test data jobs with self-service access.

Reviews

DATPROF reviews

5 reviews

Overall

4.6/5

Ease of use4.8/5
Features4.4/5
Value for money4.6/5
Customer support4.8/5

What users like

Easy to install and use
Responsive and helpful support team
Works across many database types
Consistent masking that preserves structure

What users dislike

No Informix or Sybase support
Repeated masking rules cannot be copied
Oracle tuning needs deep expertise
Pricing not published on website

Kees S.

ICT Ontwikkelaar

“Liked the ease of use of the toolset and its performance, naming these two qualities as the strongest points of the product. Noted no major drawbacks.”

Alejandro C.

Director

“Liked how easy it was to use and implement, the competitive price, the modular schema, and the strong support. Found that Informix and Sybase databases are not supported.”

Marco D.

Consultant

“Liked that the software is easy to use, covers the data needs of projects, and comes with a responsive support team. Found that the small size of the vendor limits toolset development choices.”

Bert V.

Datprof ontwikkelaar / Beheerder

“Liked the quick start, easy installation, support for Oracle, SQL Server, DB2, and PostgreSQL, and consistent pseudonymization. Found that strong Oracle performance requires deep Oracle knowledge and good data model understanding.”

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Alternatives

Top DATPROF alternatives

Delphix
Best for
Enterprise data virtualization
Why choose it
Combines virtualization and masking for DevOps teams
K2view
Best for
Entity-based test data
Why choose it
Provisions test data by business entity on demand
View K2view
Tonic.ai
Best for
Synthetic test data
Why choose it
Generates realistic synthetic data for developer environments
Broadcom Test Data Manager
Best for
Large mainframe enterprises
Why choose it
Broad test data tooling for legacy estates

Integrations

DATPROF integrations

DATPROF connects directly to the relational databases that hold production data. Users report working with Oracle, Microsoft SQL Server, IBM DB2, and PostgreSQL, and the platform keeps masking consistent across these sources so linked test systems still match. Test data jobs can be triggered from CI/CD pipelines, which lets development and QA teams refresh masked or subsetted environments as part of automated builds. APIs support bulk masking and job control, and the DATPROF Runtime portal gives testers self-service access to approved data sets. Databases such as Informix and Sybase are not supported, so teams with those systems should check compatibility with the vendor first.

FAQ

DATPROF