DATPROF vs DataMasque comparison

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DataMasque

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Executive Summary

We performed a comparison between DATPROF and DataMasque based on real PeerSpot user reviews.

Find out in this report how the two Data Masking solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed DATPROF vs. DataMasque Report (Updated: March 2026).

DATPROF vs. DataMasque

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

DataMasque

Ranking in Data Masking

13th

Average Rating

9.6

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

Data Governance (25th)

DATPROF

Ranking in Data Masking

7th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Test Data Management (7th), AI Synthetic Data (4th)

Mindshare comparison

As of March 2026, in the Data Masking category, the mindshare of DataMasque is 0.9%. The mindshare of DATPROF is 3.3%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Masking Mindshare Distribution
Product	Mindshare (%)
DATPROF	3.3%
DataMasque	0.9%
Other	95.8%

Data Masking

Featured Reviews

Nierojan Pushparajan

Director of Software Engineering at TelliHealth

Masking sensitive test data has improved compliance and now enables safe, realistic debugging

The best features DataMasque offers that stand out to me are the flexibility to create rule sets and mask UUIDs, which have been really beneficial. Additionally, their customer service and technical support have been very helpful in getting this set up. The flexibility in creating rule sets has helped my team specifically because we have lots of dependencies on different databases and different database types. We have an RDS instance and an OpenSearch instance. Having those rule sets really allowed us to connect data between the two because the same data can be across multiple datasets. Creating these rules enabled us to not think too much about which ones need to be unique or which ones need to be the same across different tables. Whenever we run into issues or questions, we are able to talk to the DataMasque team, and they give us a reasonable technical response within a good timeframe that allows us to solve our issues pretty quickly. We have not had huge delays or blockers because of the communication between us and DataMasque. I appreciate the consistency to continue to improve the application, and there are new features coming out this year that will be tools we use. DataMasque is doing a great job of adding new features, and we will definitely be using them in the future. DataMasque has positively impacted our organization by already showing visible benefits in security and reduced risks for compliance, even though we are still in the process of setting up production and using it to the full extent. It will allow our developers to troubleshoot issues easily without the risk of viewing PHI or anything similar. We are seeing the benefits already of that, but we still need to complete the full integration and incorporate it into our workflows to see the full benefits, which we are currently in the process of. So far, it has been really good. By just masking production data, we can go into this masked database set to understand edge cases and issues as they come up from support without the developers having to look at any production data. They can go into this masked dataset and see the problem firsthand, something we would not have caught with our dev dataset because it is such a smaller amount of data, whereas production has a vast amount of data that we can look through.

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Manoranjan Mishra

Product Owner at Heineken

Eliminated compliance issues for non-SAP applications, and gives us real, comprehensive data masking

The data scrambling, the masking, is the most valuable feature. That is how we protect our personal and sensitive information. That is very important for Heineken, given that we work in global scenarios with a lot of personal information and business-sensitive information. This feature is particularly helpful. It is a very intelligent solution when it comes to identifying the dependencies and connections and it is easily scalable. It allows a type of self-service where we are not dependent on the supplier to do the work. Our team members can do things themselves. It is also extremely important that DATPROF's masking for non-SAP databases also integrates with SAP TDM, out-of-the-box. We have operations in more than 100 countries and a majority of those operations use SAP applications. But some of our very important regions, such as the Americas and Asia-Pacific, are using Microsoft Dynamics NAV and Oracle as their core ERPs. That means we have some customers who are in both SAP and non-SAP. When we do scrambling for different applications, it is extremely important that DATPROF and the SAP applications talk to each other and synchronize. Otherwise, for example, if the name Mano is changed to Frank in an SAP system, but the same Mano is changed to Albert in a non-SAP system, that means Mano has two names in two different systems. That means that identity is lost, from a name perspective. It is also quite efficient, as we are doing data refreshes regularly.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"DataMasque has positively impacted our organization by already showing visible benefits in security and reduced risks for compliance, even though we are still in the process of setting up production and using it to the full extent."

"DataMasque has positively impacted our organization by absolutely allowing us to more rigorously test our products within a safe environment without leaking personally identifiable information."

"We can now have a staging environment very much like a production environment, which improves our testing and product quality."

"Being able to generate the masking rules directly from the tool based on what it finds during the data discovery helps ensure that all sensitive fields are identified and masked."

"We have some customers who are in both SAP and non-SAP. When we do scrambling for different applications, it is extremely important that DATPROF and the SAP applications talk to each other and synchronize. Otherwise... [an] identity [can be] lost, from a name perspective."

"The most valuable feature of DATPROF Privacy for us is the possibility to mask sensitive test and development data on different kinds of databases."

"Today we are confident that our customers' sensitive data is not in anybody else's hands."

"The data modeling software gave additional insights for debugging in the case of circular foreign keys."

"The most valuable feature is that it's easy to use... We were able to quickly port a JD Edwards application into the DATPROF solution and we were able to scramble the data in that application. It's a single tool that helps us to do that across applications."

"We can create synthetic test data for our different development teams without needing production data, which is an excellent capability."

"I am very impressed with the capabilities of the software."

"We organized a TDM process with both DATPROF Subset and Privacy, fully self-service and fully automated with ServiceNow, Runbook, and Ctrl-M, and within 15 minutes users can establish a refreshed testing environment."

More DATPROF pros

Cons

"UUID generation could be improved."

"I think it would be great if the user experience was upgraded because it can be quite technical at times."

"Although it is possible to mask flat files inside DATPROF Privacy, the current solution is solid. However, it can be improved with an improved user interface."

"The product could be improved by adding functions to mask flat files and XML data."

"Right now, we need to make process agreements with our supplier to keep our source and target database in line with the current production version. This may become an issue when (if) we reach a CI/CD level with multiple releases per day."

"Although it is possible to mask flat files inside DATPROF Privacy, the current solution is solid. However, it can be improved with an improved user interface."

"The product could be improved by adding functions to mask flat files and XML data."

"I feel that we have to do a lot of reworking of the template implementations. Maybe it is a limitation, but as a customer, it feels like we need to start from scratch every time."

"We organized the orchestration via ServiceNow/Runbook. It would be nice if DatProf software had this functionality as well."

"Right now, we need to make process agreements with our supplier to keep our source and target database in line with the current production version."

More DATPROF cons

Pricing and Cost Advice

Information not available

"I'm not part of the financial team, but as far as I understand, the price is very reasonable compared to the competitors."

"It's very competitive. There is a good price-to-feature relation. It doesn't give us the feeling that we are overspending on something. It provides the right value at the right price. It's worth it."

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Top Industries

By visitors reading reviews

Energy/Utilities Company

37%

Construction Company

15%

Comms Service Provider

Computer Software Company

Financial Services Firm

10%

Healthcare Company

10%

Government

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	8

Questions from the Community

What is your experience regarding pricing and costs for DataMasque?

As we are still in the early stages, I can't say anything definitive about pricing yet, but I believe it will be usage-based, which should work well.

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What needs improvement with DataMasque?

UUID generation could be improved. Although UUIDs were masked correctly, some validation rules were not supported, requiring a switch from validators to pattern matching. Expanding native UUID vali...

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What is your primary use case for DataMasque?

I created a staging environment with production-like data.

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Comparisons

No data available

Perforce Delphix vs DATPROF

Compared 28% of the time

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Compared 23% of the time

BMC AMI DevX vs DATPROF

Compared 12% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs DATPROF

Compared 12% of the time

K2View vs DATPROF

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Product Reports

Data Masking

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Also Known As

No data available

DATPROF Privacy, DATPROF Test Data Management

Overview

DataMasque provides a simple way to irreversibly replace sensitive data with realistic alternatives to help simplify compliance without compromising data functionality and usability in development and testing environments.

DataMasque

DATPROF offers test data management solutions known for subsetting, easy maintenance, intelligent data modeling, and data protection features, suitable for businesses requiring efficient data handling and compliance across operations.

DATPROF is renowned for capabilities including collaboration without heavy supplier reliance, synthetic data generation, and data masking across applications. Its features allow flexible customization, integration with systems, and scalable masking. Users benefit from its intuitive design and efficient data management while seeking improvements in orchestration features, enhancing discovery-to-masking integration, and expanding APIs. Addressing requirements like template reusability, empty database functionality, and mainframe platform compatibility are focus areas. Suggestions for better synthetic data generation and mainframe alliances highlight future growth potential.

What are DATPROF's most valuable features?

Subsetting for creating tailored data sets.
User-friendly design aiding ease of use.
Intelligent data modeling for efficient handling.
Anonymization ensuring data privacy.
Integration with different systems for broader applicability.

Which benefits should users consider?

Reduced data storage costs through efficient subsetting.
Compliance with regulations like GDPR via effective masking.
Enhanced data management efficiency boosting team productivity.
Improved data protection across database formats.

In industries requiring stringent data protection such as finance and healthcare, DATPROF is crucial for managing test databases, meeting CI/CD targets, and ensuring GDPR compliance. Teams leverage DATPROF for transitioning to cloud environments, masking sensitive data, and creating synthetic data, thereby supporting diverse IT environments.

Sample Customers

Information Not Available

APG, UWV, VGZ, DUO, Admiral Group, Heineken, Region Stockholm, Green Shield Canada, BestPass, CalPERS, Birmingham City Council, Nest Pensions

DATPROF vs. DataMasque