DataMasque vs erwin Data Modeler comparison

DataMasque and Quest Software are both solutions in the Data Governance category. DataMasque is ranked #25 with an average rating of 9.5, while Quest Software is ranked #9 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

427 Views
162 Comparison Views

100% willing to recommend

erwin Data Modeler

Read 48 erwin Data Modeler reviews

5,701 Views
171 Comparison Views

95% willing to recommend

DataMasque

erwin Data Modeler

Comparison Buyer's Guide

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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: March 2026).

Buyer's Guide

DataMasque vs. erwin Data Modeler

March 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

25th

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

9th

Average Rating

8.4

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (1st), Business Process Design (6th)

Mindshare comparison

As of March 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 Mindshare Distribution
Product	Mindshare (%)
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.

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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.

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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

"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."

"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."

"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 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."

"Given an opportunity to follow the correct path and perform data modeling, we have seen a significant return on investment with decreases in delivery time and decreases in project cost."

"It's a safeguard for me because I'm always concerned that somebody is free handing it and will forget a key coming from the parent. The migrating keys are a great feature. Identifying relationships, non-identifying relationships, and being visually right there to understand the differences are great features. erwin is key to being able to visually understand whatever the customer is requesting. They'll give you words on a paper, but once they can actually view it as a picture, it really comes to life. The data comes to life to where they understand exactly what they're asking for."

"We can create mappings in erwin and possibly data dictionaries."

"The data lineage feature is very valuable."

"It saves a lot of development time, and I think we are saving from two weeks to one month annually."

"It is a very good product if you want to import existing designs, and it is a tremendously flexible product for reverse engineering and database generation."

"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."

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."

"I would like to see more support for working with the big-data world. There are so many new databases evolving and it's very hard for them to keep up with all of the new technologies. It would be good if they were able to dynamically support big-data platforms, other than Hive and Teradata."

"The erwin ETL functionality has room for improvement when it comes to mapping databases with a classic entity-relationship model to a data warehouse model."

"I find the UI very clunky and very difficult to use. If I add columns to a table the whole workflow could be so much easier. I get frustrated using it. I've tried other tools. I've tried to get off of erwin a few times. I always come back to it because every tool has its own set of problems, and it seems like if I have to pick my poison, I stay with erwin. But so many things that are clunky with it."

"The report generation has room for improvement. I think it was version 8 where you had to use Crystal Reports, and it was so painful that the company I was with just stayed on version 7 until version 9 came out and they restored the data browser. That's better than it was, but it's still a little cumbersome. For example, you run it in erwin, then export it out to Excel, and then you have to do a lot of cosmetic modification. If you discover that you missed a column, then you would have to rerun the whole thing. Sometimes what you would do is just go ahead and fix it in the report, then you have to remember to go back and fix it in the model. Therefore, I think the report generation still could use some work."

"We find erwin DM less valuable creating initial drafts and reverse-engineering databases and there are still a lot of extensions to the scripting language that are not included with the erwin product."

"Although Quest Software has made tremendous strides in recent years, they need to evolve more in the big data arena; erwin Data Modeler could use a little more work when it comes to big database designs."

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

"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."

More erwin Data Modeler cons

Pricing and Cost Advice

Information not available

"The pricing of the solution is cheap. I rate the pricing a five out of ten."

"An issue right now would be that erwin doesn't have a freely available browser (that I am aware of) for people who are not data modelers or data engineers that a consumer could use to look at the data models and play with it. This would not be to make any changes, but just to visually look at what exists. There are other products out there which do have end user browsers available and allow them to access data models via the data modeling tool."

"It is not a very expensive solution. Only the licensing and maintenance fee needs to be paid."

"The price should be lower in order to be on the same level as its competitors."

"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."

"Price-wise, erwin Data Modeler is okay. You can purchase a single license and it is not very expensive."

"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."

More erwin Data Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Energy/Utilities Company

35%

Construction Company

19%

Comms Service Provider

Computer Software Company

Financial Services Firm

15%

Manufacturing Company

Government

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	3
Large Enterprise	35

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.

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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...

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What is your primary use case for DataMasque?

I created a staging environment with production-like data.

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

I have no idea about the setup cost because I did not buy the license.

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What needs improvement with erwin Data Modeler by Quest?

As we all know, AI is taking up a majority of things. I felt that erwin Data Modeler is a bit of an outdated tool. It needs a new look and integrating AI into it would be much better for learning. ...

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

For erwin Data Modeler, the use case was to create a data model for the organization. It articulates how data flows throughout the organization. For example, we have an employee table with two type...

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Comparisons

No data available

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Compared 8% of the time

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Compared 5% of the time

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Sparx Systems Enterprise Architect vs erwin Data Modeler

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Product Reports

Buyer's Guide

Data Masking

March 2026

Download DataMasque product report

Buyer's Guide

erwin Data Modeler

March 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

March 2026

Free Report: DataMasque vs. erwin Data Modeler

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