DataMasque vs Microsoft Purview Data Lifecycle Management comparison

DataMasque vs. Microsoft Purview Data Lifecycle Management

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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 Governance

28th

Average Rating

9.6

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

Data Masking (13th)

Microsoft Purview Data Life...

Ranking in Data Governance

26th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Email Archiving (9th), Document Management Software (2nd), Microsoft Security Suite (29th)

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of DataMasque is 0.3%. The mindshare of Microsoft Purview Data Lifecycle Management is 1.0%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
Microsoft Purview Data Lifecycle Management	1.0%
DataMasque	0.3%
Other	98.7%

Data Governance

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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Ram-Krish

Cloud Security & Governance at a financial services firm with 10,001+ employees

A comprehensive data management solution shows potential for improvement while providing strong integration with existing infrastructure

One of the requirements is to have data leak policies and data access policies. This is very critical to enforce data governance standards, which relate to data classification, access control, data protection, and retention. It covers the entire lifecycle, helping us to protect, detect, and classify the documents. Challenges are mostly related to the security products onboarded into the bank; they have challenges in terms of those products complying with the internal standards. Sometimes, we cannot just use the DLP across the state. For example, using Microsoft products has been easy to adopt, such as OneDrive and SharePoint on-premise, but it becomes a challenge when it comes to AWS, as data also exists in S3 buckets. Testing is still ongoing, but it will eventually be done. The time it takes to scan is one issue; when we raise high-volume issues and tickets related to scanning failures, it relates to permission errors, which are technical challenges. These take time because we have high volume tickets in terms of connectivity, scanning failures, and related matters. There are also frequent change requests, especially regarding scoping or rescoping due to complexities, creating several challenges. In both organizations I work with, there are gaps, and there is no enterprise-wide data classification available. However, there are pockets of implementations for various products. Some agencies are using it, but otherwise, there's no product existing across the enterprise. Microsoft Purview Data Lifecycle Management is definitely a good solution, but there is significant room for improvement from a product perspective. Reporting is another area that needs improvement.

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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 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."

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

"The system is stable; I haven't encountered any worldwide stability issues unlike other office products."

"The automatic data labeling is compelling, and we are investigating its use."

"The impact of Microsoft Purview Data Lifecycle Management on my unified data catalog has improved a lot; the improvements I see are in the lineage, the discovery, and the labeling."

"The UI is the most valuable feature."

"Purview's built-in functionality provides immediate access to reports, streamlining the entire process."

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 time it takes to scan is one issue; when we raise high-volume issues and tickets related to scanning failures, it relates to permission errors, which are technical challenges."

"Microsoft Purview Data Lifecycle Management can be challenging to implement due to its complexity and dense documentation, making it difficult to get started."

"Microsoft's Purview Data Lifecycle Management preview features can be unreliable, hindering their usefulness."

"Microsoft Purview Data Lifecycle Management can be challenging to implement due to its complexity and dense documentation, making it difficult to get started."

"I think labeling could use a lot more AI assistance. AI implementation into labeling would be beneficial."

Pricing and Cost Advice

Information not available

"The service operates on a pay-as-you-go basis, charging an extra one cent per field of metadata scanned in our data."

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881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Energy/Utilities Company

45%

Computer Software Company

12%

Marketing Services Firm

10%

Comms Service Provider

Computer Software Company

13%

Government

12%

Manufacturing Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for DataMasque?

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

What needs improvement with DataMasque?

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 d...

What is your primary use case for DataMasque?

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

What is your experience regarding pricing and costs for Microsoft Purview Data Lifecycle Management?

We opted for Purview Data Lifecycle Management due to its significant cost advantage over competitors. At a 95 percent price reduction, it was a clear winner. The service operates on a pay-as-you-g...

What needs improvement with Microsoft Purview Data Lifecycle Management?

I think labeling could use a lot more AI assistance. AI implementation into labeling would be beneficial.

What is your primary use case for Microsoft Purview Data Lifecycle Management?

My major use case for Microsoft Purview Data Lifecycle Management is for the classification of data.

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Comparisons

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Product Reports

Data Masking

Download DataMasque product report

Microsoft Purview Data Lifecycle Management

Download Microsoft Purview Data Lifecycle Management product report

Microsoft Purview Data Lifecycle Management report

Also Known As

No data available

Microsoft Information Governance, Microsoft Purview Records 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

Microsoft Purview Data Lifecycle Management helps businesses manage data effectively, enhancing compliance and control while optimizing data usage across the organization.

Designed for comprehensive data governance, Microsoft Purview Data Lifecycle Management aids businesses in automating data retention, labeling, and protection policies. It integrates seamlessly with existing systems, facilitating robust data management, which supports compliance and risk management efforts. Suitable for businesses seeking to consolidate data management processes, it ensures that valuable data is efficiently cataloged, accessible, and secured, contributing to informed decision-making and resource optimization.

What features should users be aware of?

Automated Data Retention: Simplifies data management by automatically applying retention policies.
Sensitivity Labeling: Offers robust capabilities to classify and protect sensitive information.
Data Insights: Provides analytical insights that help in monitoring compliance and data usage.
Policy Enforcement: Integrated tools for automating policy application across data assets.

What benefits can users expect from reviews?

Improved Compliance: Ensures adherence to regulations through automated policy enforcement.
Operational Efficiency: Streamlines data management tasks, reducing manual intervention and potential errors.
Cost Effectiveness: Reduces the need for multiple tools by consolidating data management activities.
Enhanced Security: Protects sensitive data through advanced labeling and encryption features.

In finance, Microsoft Purview Data Lifecycle Management facilitates compliance with strict regulations, in healthcare, it safeguards patient data while streamlining retention policies, and in retail, it organizes customer data for better insights and tailored marketing strategies, ensuring data is a strategic resource across sectors.

Microsoft

DataMasque vs. Microsoft Purview Data Lifecycle Management