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DATPROF

by DATPROF · Since 2003
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ActiveAvailable globallyCloud
Quick facts
VendorDATPROF
Year launched2003
StatusActive
LocationFriesestraatweg 213b 9743 AD Groningen, The Netherlands
Countries servedGlobal
Languages5
Integrations15+
Free tierN/A
Free trialN/A
Contact salesYES

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 stands out as a highly capable and modern test data management (TDM) solution built to streamline how organizations generate, provision, and secure test data throughout the software development lifecycle. Designed with speed, privacy, and usability in mind, it serves as a robust platform that combines data masking, synthetic data generation, data subsetting, and database virtualization—functionality that collectively accelerates test cycles while ensuring sensitive information remains protected. Its primary appeal lies in how effectively it allows developers and testers to work with realistic, compliant test data, eliminating bottlenecks typically caused by data access delays or privacy concerns. The platform is particularly intuitive, featuring a web-based console and a self-service portal that empowers non-database experts to manage their test data with minimal training, which is a significant advantage for agile teams and DevOps environments. One of DATPROF’s most praised capabilities is its data masking feature, which converts sensitive production data into anonymized yet high-quality versions suitable for testing—preserving referential integrity and regulatory compliance (e.g., GDPR, HIPAA, PCI DSS).

Pros & Cons

Pros
  • 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.
Cons
  • 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.

Features

Key features

Comprehensive Data Masking (Privacy)

Intelligently scrambles sensitive production data into realistic, high-quality masked data that is compliant with privacy regulations like GDPR, PCI, and HIPAA.

Synthetic Data Generation

Creates completely artificial yet realistic test data, removing the need to use any sensitive production data for testing purposes.

Data Subsetting

Enables creating smaller, referentially intact subsets of large production datasets, reducing storage costs and speeding up test cycles.

Self-Service Test Data Portal

Empowers developers and testers to easily request and provision their own tailored test data on demand, accelerating workflows.

CI/CD Integration & Automation

Automates test data processes and seamlessly integrates into Continuous Integration/Continuous Delivery pipelines, shortening time to market.

Database Virtualization

Allows for instant cloning and snapshotting of virtual databases, providing testers with dedicated, isolated, and rapidly provisioned test environments.

Additional features

Test Data Management Platform

A comprehensive solution for managing test data throughout the software development lifecycle.

Compliance (GDPR, PCI, HIPAA)

Ensures test data adheres to national and international privacy regulations.

Time-Saving Data Provisioning

Reduces the time spent requesting, provisioning, and refreshing test data.

Cost Reduction

Saves on network and infrastructure costs by working with smaller data subsets.

Central Test Data Management (TDM)

Manages and refreshes test data across multiple environments from a single location.

Data Masking

Transforms sensitive data into non-sensitive but realistic data while maintaining referential integrity.

Synthetic Data Generation

Creates artificial, non-real data for testing purposes.

Data Subsetting

Extracts smaller, representative portions of large datasets.

Data Virtualization Solutions

Provides virtualized database environments.

Test Data On-Demand

Delivers test data whenever and wherever testers and developers need it.

CI/CD Integration

Automates test data processes within CI/CD pipelines.

Automated Test Data Processes

Automates the creation, refresh, and delivery of test data.

Self-Service Portal

Allows developers and testers to create and request their own test data.

Security and Compliance

Ensures secure test data compliant with laws.

Shorter Time-To-Market

Accelerates software delivery through better quality test data.

Supports Leading Database Technologies

Compatible with a wide range of database systems (e.g., Oracle, DB2, PostgreSQL, Microsoft SQL Server, MySQL, MariaDB, and more).

Identifies Dependencies and Connections

Intelligently recognizes relationships within complex data structures.

Scalable Solution

Easily scales to handle growing data volumes and complexity.

API Capabilities

Allows for masking and generating data in bulk or for specific fields via APIs.

Data Discovery and Remediation

Identifies sensitive data and helps in its de-identification.

Data Profiling

Provides insights into the structure, content, and quality of data.

Referential Integrity Assurance

Ensures data consistency across databases and tables after masking or subsetting.

Data Versioning

Manages different versions of test datasets.

Subset Reservations

Allows testers to reserve specific subsets of data.

Reporting

Generates reports on test data activities.

Authentication Layer

Provides secure access control for the platform.

Customized Scripts and Conditions

Allows for flexible data manipulation using custom logic.

Audit Log

Provides a record of executed test data tasks.

Rollback/Snapshot Capabilities

Ability to revert virtual databases to a previous state.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
5
Interface languages
12
Billing currencies

Interface languages

EnglishGermanFrenchSpanishDutch

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇴NOK🇩🇰DKK🇭🇰HKD

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