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
- +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.
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
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Interface languages
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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
DATPROF's In-App Market Place
Does DATPROF have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
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.
DATPROF's Support Options
Email Address
info@datprof.comContact
+3150 571 0305Documentation
https://docs.datprof.com/Chatbot
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