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Reviews from AWS customer

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5-star reviews ( Show all reviews )

    Nierojan Pushparajan

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

  • January 05, 2026
  • Review from a verified AWS customer

What is our primary use case?

My main use case for DataMasque is masking PHI data to use in a staging environment for production testing.

I decided to start masking PHI data specifically for staging due to a compliance requirement and to have better end-to-end testing with real production loads.

What is most valuable?

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.

What needs improvement?

It is too early to tell how DataMasque can be improved since we are still in the implementation phase. We do like everything that the company offers, and they perform check-ins monthly to see if we have any issues. Right now there is not anything we would like to improve.

For how long have I used the solution?

I have been using DataMasque for about eight months.

What do I think about the stability of the solution?

DataMasque is stable.

What do I think about the scalability of the solution?

DataMasque's scalability is pretty good; we have not had any issues, and we have a pretty large dataset that it has handled well.

How are customer service and support?

Customer support from DataMasque is excellent.

Which solution did I use previously and why did I switch?

I did not previously use a different solution.

How was the initial setup?

It was quite easy to deploy DataMasque in my environment.

My experience with the configuration process was good; it was a smooth process with no issues.

What was our ROI?

We have not seen a return on investment yet, but we expect to save money on testing.

What's my experience with pricing, setup cost, and licensing?

My experience with the procurement process was easy.

My experience with pricing, setup cost, and licensing was easy. They gave us a trial license that we used, and when it expired, they extended it for us so we could finish our implementation and testing. The contracting was done with our CTO, and he signed off on it, so that part seemed to be a smooth transaction because everything was done through AWS, with no issues at all.

Which other solutions did I evaluate?

I did not evaluate other options before choosing DataMasque, as we had a referral to DataMasque.

What other advice do I have?

I suggest trying DataMasque out and seeing how it fits your needs. Ask questions because DataMasque is great at responding to questions and making sure it fits your requirements. I give DataMasque a rating of five out of five.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?


    Dave Miller

Data masking has improved QA testing coverage and protects all discovered sensitive fields

  • December 23, 2025
  • Review from a verified AWS customer

What is our primary use case?

I use the solution to mask production data and restore it into a QA environment.

How has it helped my organization?

The testing scenarios are more complete.

What is most valuable?

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.

For how long have I used the solution?

I have used the solution for one year.

Which solution did I use previously and why did I switch?

This is the first time I am using this tool.

What's my experience with pricing, setup cost, and licensing?

The DM team was very happy to work with us when we were determining the pricing and licensing model we wanted to use.

What other advice do I have?

The tech support is top notch!


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