DataMasque vs erwin Data Modeler comparison

DataMasque and Quest Software are both solutions in the Data Governance category. DataMasque is ranked #28 with an average rating of 9.0, while Quest Software is ranked #15 with an average rating of 8.4. DataMasque holds a 0.3% mindshare in DG, compared to Quest Software’s 0.3% mindshare. Additionally, 100% of DataMasque users are willing to recommend the solution, compared to 95% of Quest Software users who would recommend it.

DataMasque

Read 4 DataMasque reviews

303 Views
118 Comparison Views

100% willing to recommend

erwin Data Modeler

Read 46 erwin Data Modeler reviews

5,210 Views
156 Comparison Views

95% willing to recommend

DataMasque

erwin Data Modeler

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between DataMasque and erwin Data Modeler based on real PeerSpot user reviews.

Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed DataMasque vs. erwin Data Modeler Report (Updated: January 2026).

Buyer's Guide

DataMasque vs. erwin Data Modeler

January 2026

Download the complete report

Helped 881,082 peers since 2012

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)

erwin Data Modeler

Ranking in Data Governance

15th

Average Rating

8.6

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (2nd), Business Process Design (8th)

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of DataMasque is 0.3%. The mindshare of erwin Data Modeler is 0.3%. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
erwin Data Modeler	0.3%
DataMasque	0.3%
Other	99.4%

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.

Read full review

Sushree Panigrahi

Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.

Data modeling has transformed regulatory reporting and collaboration across cloud environments

In erwin Data Modeler, areas that have room for improvement include performance improvements. I see that large models sometimes cause it to be slow when opening. Impact analysis can lag as well. Version control is another aspect. If we have developed a current version, it is not integrated with Git where we can easily compare different versions. UI modernization is also something we cannot utilize as it is primarily for development. Additionally, cloud-specific optimizations are needed when it comes to Snowflake or Databricks. When it comes to AI aspects, auto-suggestions for normalization or identifying primary, foreign, or surrogate keys are areas that can be improved.

Read full review

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 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."

"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."

"It reduces monthly savings by hundreds of thousands of dollars. Think about a company like Costco and all of the points of sale systems in Costco, all of the systems, the applications, but if all the applications in Costco all had their own data model, trying to integrate those, upgrade them and manage their different versions of the same model throughout the store, is an absolute nightmare. It's phenomenally expensive. This helps reduce that cost significantly. I'm talking on the orders of hundreds of thousands of dollars."

"The solution is excellent in providing a visual representation of a database and can generate DDL for implementing changes. We use DDL for logical purposes to review with business people, ensuring they have the required fields for processing. We also use it as a data dictionary for the physical data model to understand all the purposes of the terms. This helps us map the logical and physical terms with the business definition to understand our data."

"When you're getting down to the database level, where you're building a design and you're creating DDL out of it, or you're going in the other direction where you're reaching into system catalogs and bringing things back, that starts to really require specialization. Visio isn't going to reverse-engineer that for you. Those features in erwin are valuable."

"Being able to point it to a database and then pull the metadata is a valuable feature. Another valuable feature is being able to rearrange the model so that we can display it to users. We are able to divide the information into subject areas, and we can divide the data landscape into smaller chunks, which makes it easier to understand. If you had 14 subject areas, 1,000 entities, and 6,000 columns, you can't quite understand it all at once. So, being able to have the same underlying model but only display portions of it at a time is extremely useful."

"The solution’s code generation ensures accurate engineering of data sources, as there is no development time. Code doesn't even have to be reviewed. We have been using this solution for so long and all the code which has been generated is accurate with the requirements. Once we generate the DDLs out of the erwin tools, the development team does a quick review of the script line by line. They will just be running the script on the database and looking into other requirements, such as the index. So, there is less effort from development side to create tables or build a database."

"I love the way erwin Data Modeler creates data models and presents them for our users."

"One of the best aspects of the tool is its reverse engineering capability."

"It is a scalable solution...The technical support team is fine."

More erwin Data Modeler 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."

"One of the things I've been talking to the erwin team about through the years is that every data model should have the ability to be multi-language... When I was working at Honda, it became very difficult to work with the Japanese teams using just one model. You can have two models, one in English and one in Japanese, but that means you have to keep the updates back and forth, and that always increases the risk of something not being updated."

"I would like the solution to be more user-friendly to deploy."

"I would like to see the ability to support more NoSQL platforms more quickly. In addition, enhancing the graphics to render more quickly would be beneficial for any user."

"I love the product. I love the ability to get into the code, make it automated, and make it do what I want. I would like to see them put some kind of governance over the ability to make changes to the mart tables with the API, so that instead of just using the modeler's rights to a table -- it has a separate set of rights for API access. That would give us the ability to put governance around API applications. Right now a person with erwin and Excel/VBA has the ability to make changes to models with the API if they also have rights to make changes to the model from erwin. It's a risk."

"The solution's model mark could be better because it crashes sometimes."

"The erwin Data Modeler is quite complex to use."

"We are planning to move, in 2021, into their server version, where multiple data modelers can work at the same time and share their models. It has become a pain point to merge the models from individual desktops and get them into a single data model, when multiple data modelers are working on a particular project. It becomes a nightmare for the senior data modeler to bring them together, especially when it comes to recreating them when you want to merge them."

"It has a very steep learning curve, limited support for NoSQL or streaming systems, and potentially a high licensing cost."

More erwin Data Modeler cons

Pricing and Cost Advice

Information not available

"erwin has this option where you pay a one-time fee and you have the license for six years, which makes sense because I don't upgrade my database engine every other year. I have an application that depends on it. This is something weird about PowerDesigner. There are no additional costs beyond the standard licensing fee."

"Though the solution is not cheap, it's worth the money."

"There is either a one-year or three-year license. It is not a pay-as-you-go license like a SaaS solution. It’s more of a traditional licensing. They are a little bit on the pricier side."

"Likewise, the solution is a little pricey."

"We've continued to use the product for many years and compared it with others on the market. The pricing is reasonable considering what the solution offers and what we pay. There are cheaper tools, but they may not be as robust and easy to use, so it's worth the money."

"erwin is expensive compared to other solutions. We are paying almost $6,000 per seat a month."

"The primary reasons that erwin was selected were that it was much more affordable for us [than Embarcadero] and it was easily maintainable."

"The price of erwin Data Modeler is very expensive, in particular for this part of the world."

More erwin Data Modeler pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Governance solutions are best for your needs.

See recommendations

881,082 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

Financial Services Firm

18%

Government

Manufacturing Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	3
Large Enterprise	34

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.

See all answers

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...

See all answers

What is your primary use case for DataMasque?

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

See all answers

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?

Regarding pricing, I am unsure what the exact price is for erwin Data Modeler, but I believe it is not useful for an individual. It is more targeted toward an enterprise level since organizations l...

See all answers

What needs improvement with erwin Data Modeler by Quest?

I write code and I write code accessing erwin Data Modeler's API, the Application Programming Interface, so that I can use Excel to update erwin Data Modeler and then get those updates and put them...

See all answers

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

I work for CVS with a pretty big database as a data modeler on the PBMs, the Caremark PBM side, which is the Pharmacy Benefits Manager. There's a retail side too for all the stores, but our data wa...

See all answers

Comparisons

No data available

SAP PowerDesigner vs erwin Data Modeler

Compared 41% of the time

IDERA ER/Studio vs erwin Data Modeler

Compared 11% of the time

Lucidchart vs erwin Data Modeler

Compared 7% of the time

Visio vs erwin Data Modeler

Compared 5% of the time

Sparx Systems Enterprise Architect vs erwin Data Modeler

Compared 4% of the time

More erwin Data Modeler Competitors

Product Reports

Buyer's Guide

Data Masking

January 2026

Download DataMasque product report

Buyer's Guide

erwin Data Modeler

January 2026

Download erwin Data Modeler product report

Also Known As

No data available

erwin DM

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

Erwin Data Modeler provides an effective approach to visualizing and managing data models. It assists in creating, reversing, and synchronizing data models with ease, supporting logical and physical transitions while enhancing understanding across teams.

Erwin Data Modeler is a comprehensive tool designed for professional database management. It offers capabilities to organize and enforce standards, automating script generation with robust reverse engineering and DDL output. Users can manage complex data environments, capitalize on integration with data intelligence, and maintain large-scale databases smoothly. Despite its strengths, improvements in multi-language support, database integration, and reporting features are needed. Users benefit from extensive support for conceptual, logical, and physical database modeling, enhancing architectural design and data governance for platforms like SQL Server, Oracle, and Teradata.

What are the key features of Erwin Data Modeler?

Visual Representation: Facilitates clear visualization of data models, aiding comprehension.
Versioning and Editing: Enhance usability with versioning and bulk editing capabilities.
Reverse Engineering: Offers powerful tools for reverse engineering and DDL generation.
Integration: Aligns with data intelligence to streamline database management.
Naming Standards: Enforces consistency with automated script creation.

What benefits should users consider in Erwin Data Modeler reviews?

Collaboration: Promotes team understanding and collaboration through visual tools.
Automation: Reduces manual effort through automated processes and integration.
Scalability: Handles large database management efficiently, crucial for enterprise settings.
Data Governance: Facilitates effective data governance with structured modeling.

Erwin Data Modeler finds application in industries focused on robust data management, implementing it for enterprise data warehouses, business domain models, and operational systems. It supports architectural design and governance, aligning with business applications demanding precise data representation and visualization.

Quest Software

Sample Customers

Information Not Available

Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples

Buyer's Guide

DataMasque vs. erwin Data Modeler

January 2026

Free Report: DataMasque vs. erwin Data Modeler

Find out what your peers are saying about DataMasque vs. erwin Data Modeler and other solutions. Updated: January 2026.

DOWNLOAD NOW

881,082 professionals have used our research since 2012.

See our DataMasque vs. erwin Data Modeler report.

See our list of best Data Governance vendors.

We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.