Modern Test Data Management for Secure, Compliant Software Testing

DATPROF helps QA, DevOps and data teams create secure, compliant and realistic test data for software development and testing. With data masking, synthetic test data generation, subsetting, test data automation and self-service provisioning, teams can reduce risk, lower infrastructure costs and accelerate release cycles.

DATPROF test data management platform

Proven successful

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logo Heineken
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What’s your biggest test data challenge?

Learn how to easily solve any of your test data challenges with the DATPROF test data platform.

Not compliant

It contains personally identifiable information so it doesn’t comply with privacy regulations like PCI, HIPAA, and GDPR.

Time consuming

Requesting, provisioning and refreshing test data take too much time because of its size and the complexity of the process.

Too expensive

Creating and maintaining multiple test data environments for multiple quality assurance teams causes high storage and infrastructure costs.

Test data whenever you want, wherever you want

Test data is key for every software team. If you can’t manage your test data, eventually your team will slow down. From data masking and generation to subsetting and virtualization solutions, DATPROF delivers test data whenever and wherever testers and developers want.

Complete Test Data Management Platform

DATPROF enables software teams to ship their software faster with better quality.

High-quality masked data at Heineken

If we had 40,000 customers and 40,000 phone numbers and wanted to mask the phone numbers, we would write a query to change all the phone numbers to 123-456-7890. But that’s not scrambling, that’s just a mass change, and it was manual work. Now, the results we get do not look like masking because it’s real masking.

Synthetic test data at Dutch Railroads

DATPROF helped improve our organization because as more of our development teams adopt the tool, we become faster at creating test data. The test data quality is also improving, resulting in us creating better products. Overall, we gain time by speeding up the creation of test data and increasing the quality of our products. “

Data masking and generation at ABN AMRO Bank

“Its ease of use is valuable. It’s pretty straightforward. With minimal training or with minimal guidance, it can be used. We also like the features related to the integration and the usage over the web. We can also use our own customized scripts and conditions. These are the exciting features of the tool.”

You will benefit

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Central TDM

Manage and refresh test data across environments from one central location

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CI/CD Integration

Integrate and automate test data processes within your CI/CD pipeline to shorten time to market

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Reduce Cost

Save on network & infrastructure costs by working with less data in the test environment

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Self-Service Portal

Developers and tester can now create and request their test data using the self-service portal

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Security and Compliance

Secure test data, compliant with national and international laws such as GDPR

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Shorter Time-To-Market

Thanks to quality test data teams can test early and more reliable, so you can deliver high quality faster

Supporting the leading database technologies

TDM DB integrations DATPROF

Frequently Asked Questions

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What is DATPROF?

DATPROF is a test data management platform that helps software teams create, protect, automate and deliver test data for development, testing and QA. Instead of relying on full production database copies, manual data refreshes or slow provisioning processes, teams use DATPROF to make test data available when and where they need it.

The platform supports data masking, synthetic test data generation, database subsetting, test data automation and database virtualization. This helps organizations reduce privacy risks, lower infrastructure costs and speed up software delivery while keeping test data realistic, compliant and easy to use.

DATPROF is especially valuable for enterprise teams working in complex, regulated environments where production data cannot simply be copied into non-production environments.

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How does DATPROF protect sensitive data in test environments?

DATPROF protects sensitive data in test environments by masking, anonymizing or replacing personal and confidential information before it is used for development, testing or QA. Teams can keep the structure and realism of production-like data while removing the privacy risks of exposing real customer, employee or business data.

Combined with subsetting and automation, DATPROF makes it easier to refresh test environments with safe, compliant and manageable datasets.

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How does DATPROF support compliance in regulated industries?

DATPROF helps regulated organizations protect sensitive data in non-production environments. By masking, anonymizing or generating test data, teams can reduce the risk of exposing personally identifiable information, customer records, financial data or other confidential information during software development and testing.

This supports privacy and security requirements such as GDPR, internal data protection policies and audit expectations. DATPROF also helps teams standardize how test data is created and refreshed, so compliance does not depend on manual workarounds or inconsistent database copies.

For industries such as banking, insurance, healthcare, government and enterprise IT, this makes test data safer, more repeatable and easier to control.

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What is the difference between the modules in the DATPROF Test Data Platform?

DATPROF consists of several modules that work together as a complete test data management platform.

  • DATPROF Privacy is used for data masking and synthetic test data generation. It helps protect sensitive information while preserving the usefulness of test data.
  • DATPROF Subset is used to create smaller, referentially intact datasets from large databases. This helps teams reduce storage, speed up refreshes and work with manageable test environments.
  • DATPROF Analyze helps identify and understand sensitive data so teams know what needs to be protected before data is used in testing or development.
  • DATPROF Virtualize helps teams work with virtualized or containerized database environments, making it easier to refresh, restore and manage test data quickly.
  • DATPORF Runtime is the central automation and self-service layer. It allows teams to run, schedule, monitor and integrate test data processes, including through CI/CD pipelines.

Together, these modules help organizations move from manual, production-copy-based testing to automated, compliant and on-demand test data delivery.

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How does DATPROF accelerate developer velocity and reduce testing bottlenecks?

DATPROF speeds up software delivery by making test data easier to access, refresh and control. Developers and testers no longer have to wait for full database copies, manual masking jobs or DBA-driven refresh cycles.

With smaller subsets, teams can work with compact datasets that are faster to create and easier to manage. With masking and synthetic generation, they can use safe data without waiting for production access approvals. With Runtime and CI/CD integration, test data processes can be triggered automatically or made available through self-service.

This reduces delays in testing, helps teams reset environments faster and supports shorter release cycles.

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Why choose DATPROF for enterprise test data management?

DATPROF is built for organizations that need realistic, compliant and manageable test data across complex IT landscapes. It is particularly well suited for teams working with large relational databases, connected enterprise systems and strict privacy requirements.

The platform helps organizations protect sensitive data, reduce infrastructure costs, automate test data delivery and give QA and development teams more control over their own test environments.

For enterprises that want to test faster without increasing privacy risk, DATPROF provides a practical way to modernize test data management.

Test Data Management Reinvented

"It is a very intelligent solution when it comes to identifying the dependencies and connections and it is easily scalable."

Manoranjan Mishra
Product Owner at Heineken

"Before DATPROF, we did not have the ability to scramble or mask in our non-SAP applications... Today we are confident that our customer's sensitive data is not in anybody else's hands."

Prakash Palani
Platform Architect at BCS

"Within the bank, we have a strategy called API First, and it was good to see that they have the possibilities to use APIs to mask data in bulk and generate data in bulk or in a few fieds."

Romil Kapadia
Product Owner at ABN AMRO Bank N.V.