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).
Intelligently scrambles sensitive production data into realistic, high-quality masked data that is compliant with privacy regulations like GDPR, PCI, and HIPAA.
Creates completely artificial yet realistic test data, removing the need to use any sensitive production data for testing purposes.
Enables creating smaller, referentially intact subsets of large production datasets, reducing storage costs and speeding up test cycles.
Empowers developers and testers to easily request and provision their own tailored test data on demand, accelerating workflows.
Automates test data processes and seamlessly integrates into Continuous Integration/Continuous Delivery pipelines, shortening time to market.
Allows for instant cloning and snapshotting of virtual databases, providing testers with dedicated, isolated, and rapidly provisioned test environments.
A comprehensive solution for managing test data throughout the software development lifecycle.
Ensures test data adheres to national and international privacy regulations.
Reduces the time spent requesting, provisioning, and refreshing test data.
Saves on network and infrastructure costs by working with smaller data subsets.
Manages and refreshes test data across multiple environments from a single location.
Transforms sensitive data into non-sensitive but realistic data while maintaining referential integrity.
Creates artificial, non-real data for testing purposes.
Extracts smaller, representative portions of large datasets.
Provides virtualized database environments.
Delivers test data whenever and wherever testers and developers need it.
Automates test data processes within CI/CD pipelines.
Automates the creation, refresh, and delivery of test data.
Allows developers and testers to create and request their own test data.
Ensures secure test data compliant with laws.
Accelerates software delivery through better quality test data.
Compatible with a wide range of database systems (e.g., Oracle, DB2, PostgreSQL, Microsoft SQL Server, MySQL, MariaDB, and more).
Intelligently recognizes relationships within complex data structures.
Easily scales to handle growing data volumes and complexity.
Allows for masking and generating data in bulk or for specific fields via APIs.
Identifies sensitive data and helps in its de-identification.
Provides insights into the structure, content, and quality of data.
Ensures data consistency across databases and tables after masking or subsetting.
Manages different versions of test datasets.
Allows testers to reserve specific subsets of data.
Generates reports on test data activities.
Provides secure access control for the platform.
Allows for flexible data manipulation using custom logic.
Provides a record of executed test data tasks.
Ability to revert virtual databases to a previous state.
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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.
Does DATPROF have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
N/A
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Email Address
info@datprof.comContact
+3150 571 0305Documentation
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