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.
| Product | Mindshare (%) |
|---|---|
| DataMasque | 1.1% |
| Perforce Delphix | 9.7% |
| Protegrity’s Data Protection Platform | 7.0% |
| Other | 82.2% |
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?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.
| Author info | Rating | Review Summary |
|---|---|---|
| Director of Software Engineering at TelliHealth | 5.0 | I use DataMasque to mask PHI for staging environments, and its flexible rule sets, strong support, and seamless setup have been very beneficial. Though still implementing, we've already seen improved security and better testing with real production data. |
| Chief Operating Officer And Cpto at a tech vendor with 11-50 employees | 4.0 | I've used DataMasque for years to mask personal data in test environments; it's fast, accurate, and reliable, though the interface could be more user-friendly. Overall, it's a strong product that continues to improve. |
| Manager, Platform Data Services at a hospitality company with 1,001-5,000 employees | 5.0 | I found Datamasque easy to use and cost-effective, allowing me to profile over 400 databases, identify compliance data, and enable self-service restores. Their responsive dev team is always improving the solution. |
| Infrastructure Engineer at a financial services firm with 10,001+ employees | 5.0 | I've used this solution for a year to mask production data and restore it in QA, improving our testing scenarios. Its data discovery and rule generation features are valuable, and the tech support and licensing process were excellent. |
| Senior Software Developer at a tech services company with 11-50 employees | 5.0 | I used this tool to build a production-like staging environment, which improved our testing. Its masking features and Git integration are valuable, though UUID validation needs improvement. The support team has been responsive and helpful throughout. |
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.
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.
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.
I have been using DataMasque for about eight months.
DataMasque is stable.
DataMasque's scalability is pretty good; we have not had any issues, and we have a pretty large dataset that it has handled well.
Customer support from DataMasque is excellent.
I did not previously use a different solution.
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.
We have not seen a return on investment yet, but we expect to save money on testing.
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.
I did not evaluate other options before choosing DataMasque, as we had a referral to DataMasque.
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.
My main use case for DataMasque is cleaning personal, personally identifiable information out of a production environment to use in our test and QA environments.
A quick, specific example of how I use DataMasque in those environments is that we take production data, we clean it and mask it, and we give it to our developers and our UI.
The whole idea of DataMasque allows me to do exactly what I just explained.
The best features that DataMasque offers are the speed and accuracy, which are by far the best of any of the masking products.
The speed and accuracy help my team because, since it's our test, our UI and test boxes, we don't want to introduce data errors and bugs or have any data leakage, so it's incredibly important to have accuracy. Speed is key because we have terabytes worth of data to process. If it was slower, it would take probably a week to be able to process and mask the whole thing, which is incredibly helpful.
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.
I think it would be great if the user experience was upgraded because it can be quite technical at times.
The user interface could benefit from an upgrade as it can be quite technical at times. I do not have a specific example of where it felt too technical or where the user experience could be smoother.
I have been using DataMasque for the last couple of years.
There are no improvements needed for DataMasque that we haven't already discussed.
My advice to others looking into using DataMasque is that it's an extremely good product that's getting better all the time.
My company does not have a business relationship with this vendor other than being a customer. I would rate this product an 8 out of 10.
I use Datamasque for data compliance, profiling, and masking.
I was able to profile all 400+ databases in our environment, identify compliance data that was not known or identified previously, and provide the teams with a self-service option to restore to lower environments. I have also allowed our Security and Compliance team access to assist with audits.
Datamasque offers ease of use, lower cost than competitors, and the ability to scan both structured and unstructured data. The development teams are willing to work with the customer and make improvements.
Datamasque is always improving with each release. They listen to their customers and are quick to implement enhancement requests or bug fixes.
I have used Datamasque for 1 year.
I previously used Delphix.
Datamasque has the majority of the same features for a much lower cost in terms of both licensing and infrastructure.
The testing scenarios are more complete.
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.
I have used the solution for one year.
This is the first time I am using this tool.
The DM team was very happy to work with us when we were determining the pricing and licensing model we wanted to use.
The tech support is top notch!
I created a staging environment with production-like data.
We can now have a staging environment very much like a production environment, which improves our testing and product quality.
The auto-generation of masking rules, integration with Git, support for supplementary masking files, the ability to run raw SQL, and partition support all make it easier to create and maintain a masking configuration. Additionally, worker settings are needed as they help improve performance.
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 validation support would be beneficial.
I have used the solution for about 3-4 months.
This is my first time using a masking tool.
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.
Thank you for the product and the great support throughout this journey. The team has been responsive and helpful, and it has been a positive experience overall.
