DataMasque vs Quest Data Intelligence comparison

DataMasque and Quest Software are both solutions in the Data Governance category. DataMasque is ranked #30 with an average rating of 9.5, while Quest Software is ranked #18 with an average rating of 8.0. DataMasque holds a 0.4% mindshare in DG, compared to Quest Software’s 2.5% mindshare. Additionally, 100% of DataMasque users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

DataMasque

Read 4 DataMasque reviews

1,403 Views
379 Comparison Views

100% willing to recommend

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

5,399 Views
4,265 Comparison Views

100% willing to recommend

DataMasque

Quest Data Intelligence

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Executive SummaryUpdated on Jul 16, 2026

erwin Data Intelligence and DataMasque compete in data management and protection. erwin Data Intelligence leads in pricing and support, while DataMasque has a strong feature set aligned with perceived value.

Features: erwin Data Intelligence offers comprehensive data cataloging, automated data lineage, and impact analysis, ideal for data governance. DataMasque emphasizes data anonymization, privacy compliance, and real-time data protection, suitable for privacy-focused operations.

Room for Improvement: erwin Data Intelligence could enhance user-friendliness and streamline deployment. Improvements in cloud integration can broaden its appeal. DataMasque might benefit from expanding its integration capabilities and enhancing automation features. Further development in scalability can support larger deployments.

Ease of Deployment and Customer Service: DataMasque provides easy cloud-based deployment with efficient customer service. erwin Data Intelligence has more complex on-premise and hybrid options resulting in longer deployment times, balanced by dedicated support.

Pricing and ROI: erwin Data Intelligence has higher upfront costs, offering long-term benefits through its governance solutions. DataMasque's flexible pricing ensures quicker ROI, appealing to those focused on data privacy and compliance.

To learn more, read our detailed DataMasque vs. Quest Data Intelligence Report (Updated: August 2026).

Buyer's Guide

DataMasque vs. Quest Data Intelligence

August 2026

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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

30th

Average Rating

9.6

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

Data Masking (9th)

Quest Data Intelligence

Ranking in Data Governance

18th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Metadata Management (7th), AI Governance (3rd)

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of DataMasque is 0.4%. The mindshare of Quest Data Intelligence is 2.5%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Quest Data Intelligence	2.5%
DataMasque	0.4%
Other	97.1%

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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Jog Raj

Senior Consultant at a computer software company with 11-50 employees

Automated lineage and business glossaries have improved data understanding and collaboration

I am open to answering a few questions about erwin Data Intelligence and sharing my opinion about the product. Regarding the analytic part of the product, I find it very interesting that erwin Data Intelligence has its own inbuilt reporting toolset, with a new version coming out in January that will be AI-powered. This means you will be able to write analytical reports and questions based on the metadata and data lineage, making it more powerful than the current version, as AI will assist in creating those reports and performing analysis on the metadata. I find that the time taken to realize value from erwin Data Intelligence can be quite long. Creating a data catalog and developing data lineage takes significant time, and I expect that AI will help accelerate the process of creating data products by streamlining the steps involved. I can recommend erwin Data Intelligence to other users. I would rate this review as an eight out of ten overall.

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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."

"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."

"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."

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

"Erwin DI checked all the boxes for us."

"Data governance is helping us become even a better company because we know our data and how to use it."

"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."

"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."

"The solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple."

"If I use a traditional ETL tool and build it through an IT port, it would take five days to build very simple data mapping to get it to the deployment phase, whereas using this solution, the IT cost will be cut down to less than a day."

"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."

"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."

More Quest Data Intelligence 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."

"There is room for improvement in automation, no question."

"There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen."

"Improvement is required for the AIMatch feature, which is supposed to help automatically discover relationships in data."

"The fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there."

"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."

"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."

"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."

"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering."

More Quest Data Intelligence cons

Pricing and Cost Advice

Information not available

"The licensing cost was very affordable at the time of purchase. It has since been taken over by erwin, then Quest. The tool has gotten a bit more costly, but they are adding more features very quickly."

"We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."

"The price is too high."

"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."

"Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."

"You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in."

"Erwin Data Catalog is very expensive."

"The licensing cost is around $7,000 for user. This is an estimation."

More Quest Data Intelligence pricing and cost advice

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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

14%

Government

10%

Construction Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	16

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.

See all answers

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...

See all answers

What is your primary use case for DataMasque?

I created a staging environment with production-like data.

See all answers

What needs improvement with erwin Data Intelligence by Quest?

In my opinion, the analytics part of erwin Data Intelligence is not satisfactory. The name 'Intelligence' is not related specifically to analytics; it is focused on data governance with no advanced...

See all answers

What is your primary use case for erwin Data Intelligence by Quest?

My main use case for erwin Data Intelligence is applying it and the DQ Labs in a financial institution.

See all answers

What advice do you have for others considering erwin Data Intelligence by Quest?

The integration of business glossaries has significantly helped improve collaboration in our organization. We define the business glossaries first during meetings with the business, and then we bul...

See all answers

Comparisons

No data available

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Compared 18% of the time

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Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Quest Data Intelligence

Compared 7% of the time

Microsoft Purview Data Governance vs Quest Data Intelligence

Compared 5% of the time

Global Data Excellence DEMS vs Quest Data Intelligence

Compared 5% of the time

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Product Reports

Buyer's Guide

Data Masking

August 2026

Download DataMasque product report

Buyer's Guide

Quest Data Intelligence

August 2026

Download Quest Data Intelligence product report

Also Known As

No data available

erwin DG, erwin Data Governance, erwin Data Catalog

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

erwin Data Intelligence is a comprehensive platform for metadata management, data cataloging, and governance. It enables organizations to gain insights, improve traceability, and streamline compliance through its advanced features.

Focusing on data lineage, metadata repositories, and seamless integrations, erwin Data Intelligence provides a unified perspective of enterprise data. Its robust capabilities include Smart Data Connectors for automation, efficient data visualization with mind maps, and adaptable metadata properties. While the platform integrates well into existing systems, areas for improvement include automation, SDK inconsistencies, and the need for better data quality assessments. Use cases highlight its importance in enhancing business data models and regulatory compliance.

What are the key features of erwin Data Intelligence?

Single Source of Truth: Centralizes data for consistent information across the organization.
Smart Data Connectors: Automate connections to data sources, enhancing efficiency.
Data Lineage: Tracks data pathways for better traceability and understanding.
Business Glossaries: Enables clear definitions and shared vocabulary for all users.
Metadata Management: Streamlines metadata organization and retrieval.
Impact Analysis: Assesses implications of data changes rapidly and accurately.

What benefits should users look for in reviews?

Enhanced Efficiency: Automation scripts reduce manual processes and increase productivity.
Improved Data Visualization: Mind maps facilitate an intuitive understanding of complex data.
Customizable Properties: Adapt metadata attributes to fit specific organizational requirements.
Unified View: Offers a comprehensive perspective of data governance practices.

Industries implementing erwin Data Intelligence often focus on mapping data sources and integrating governance with ETL tools. This supports comprehensive data management strategies, enabling business teams to better locate, understand, and utilize data effectively. Its application in metadata management and automated reporting is particularly valuable in sectors requiring stringent regulatory compliance.

Quest Software

Sample Customers

Information Not Available

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Buyer's Guide

DataMasque vs. Quest Data Intelligence

August 2026

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