DATPROF vs DataMasque comparison

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100% willing to recommend

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: August 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

9th

Average Rating

9.6

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

Data Governance (30th)

DATPROF

Ranking in Data Masking

12th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Test Data Management (7th), AI Synthetic Data (6th)

Mindshare comparison

As of August 2026, in the Data Masking category, the mindshare of DataMasque is 1.0%. The mindshare of DATPROF is 3.2%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Masking Mindshare Distribution
Product	Mindshare (%)
DataMasque	1.0%
DATPROF	3.2%
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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Romil Kapadia

Product Owner at ABN AMRO Bank N.V.

Easy to use, covers all the technology and database stacks, and provides good value for money

We had a Broadcom solution. We had an exit strategy for all the tools of this provider. The contracts were supposed to end. DATPROF is more open with respect to outside environments. Of course, it's not open-source technology, but there are provisions to do so, whereas, with earlier tools, that wasn't the case. Another good part of DATPROF is that because they have already been in the market and working with customers for a long time, they know the ins and outs of how the market in the Netherlands works. That was visible when we were performing use cases where the generation of test data was required. Everything that we could possibly think of is already covered by the tool. The inclusiveness or the wholesomeness of the tool is very good. DATPROF's UI is many years ahead of earlier tools. Broadcom's customer support was not up to our requirements. With DATPROF, even though we are just in the sales phase, I already see tremendous improvement. With the earlier tool, they were not able to provide the solutions that we wanted, whereas with DATPROF, Gerard, and Michael are just a call away, and they are willing to extend themselves to provide us with the right support.

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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

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

"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."

"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."

"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."

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

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

"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."

"Technical support is good. They are friendly and fast."

"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 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."

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

"The most valuable feature of DATPROF Privacy for us is the possibility to mask sensitive test and development data on different kinds of databases. Furthermore, the tool comes with different useful masking functions. It is possible to mask deterministic and it is possible to add your own functions. The tool has an intuitive interface and customer support is fast and efficient."

More DATPROF pros

Cons

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

"UUID generation could be improved."

"The solution is very stable in data masking but not yet entirely stable in data synthesis."

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

"The synthetic data-generating element of the tool is relatively new, so we sometimes encounter bugs, though when we inform DATPROF, they act quickly to fix any issues. Of course, the fewer bugs we face, the better."

"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. It would help if we could reuse at least some of what we have already done."

"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."

"From what I know, there are some challenges with respect to the number of data formats that can be made available. This is something that can be improved."

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

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

26%

Construction Company

21%

Comms Service Provider

11%

Outsourcing Company

Financial Services Firm

11%

Construction Company

10%

Comms Service Provider

Manufacturing 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

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Compared 25% of the time

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Compared 22% of the time

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Compared 12% of the time

Qlik Gold Client vs DATPROF

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs DATPROF

Compared 9% of the time

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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 offers robust data masking, maintaining referential integrity while ensuring security and compliance. Its features support realistic dataset testing without exposing sensitive data, integrating seamlessly across databases.

DataMasque is designed to protect PII and PHI by masking sensitive information across interconnected databases and cloud platforms. This ensures applications, reporting, and integrations are not impacted by structural inconsistencies. Its adaptable rule set and auto-generation of masking rules aid in swift deployment, enhancing data security frameworks and accelerating release cycles. DataMasque also provides strong technical support and continues to enhance its capabilities with ongoing improvements. Users find value in its existing functionality while looking forward to further usability enhancements, including expanded capabilities for unstructured data and improved post-masking validation.

What Are DataMasque's Main Features?

Identical Data Masking: Ensures masked data retains the appearance and formatting of original data, enhancing usability.
Referential Integrity Preservation: Maintains data relationships across systems, crucial for accurate testing and reporting.
Automation: Facilitates seamless integration and efficient masking operations without manual intervention.
Scalability: Supports growth and handles large datasets across distributed environments.
Compliance and Security Alignment: Helps meet regulatory requirements like GDPR while maintaining robust security.
Speed and Accuracy: Guarantees rapid data processing with precise masking rule application.
Rule Set Flexibility: Offers custom rules to adapt to specific data structures and needs.
Auto-Generation of Masking Rules: Automatically creates rules, speeding up deployment and reducing configuration errors.

What Benefits and ROI Should Users Consider?

Data Security Enhancement: Significantly reduces the risk of data breaches by masking PII and PHI.
Improved Compliance: Aligns with regulatory standards, helping avoid legal and financial penalties.
Faster Release Cycles: Reduces time to market by enabling secure, realistic testing environments.
Risk Reduction: Minimizes hazards associated with data exposure in non-production environments.
Integration Ease: Smoothly integrates across databases, maintaining consistency and accuracy.

DataMasque is implemented across technology, healthcare, finance, and retail industries to safeguard sensitive data without disrupting operations. It assures that development, testing, and analytics use environments that mirror live systems closely, which is critical for sectors handling large volumes of personal data.

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