DataMasque vs erwin Data Intelligence 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 #17 with an average rating of 8.0. DataMasque holds a 0.3% mindshare in DG, compared to Quest Software’s 1.9% 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

427 Views
162 Comparison Views

100% willing to recommend

erwin Data Intelligence

Read 20 erwin Data Intelligence reviews

2,830 Views
2,745 Comparison Views

100% willing to recommend

DataMasque

erwin Data Intelligence

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between DataMasque and erwin Data Intelligence 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 Intelligence Report (Updated: March 2026).

Buyer's Guide

DataMasque vs. erwin Data Intelligence

March 2026

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Helped 885,311 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

25th

Average Rating

9.6

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

Data Masking (13th)

erwin Data Intelligence

Ranking in Data Governance

17th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Governance (3rd)

Mindshare comparison

As of March 2026, in the Data Governance category, the mindshare of DataMasque is 0.3%. The mindshare of erwin Data Intelligence is 1.9%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
erwin Data Intelligence	1.9%
DataMasque	0.3%
Other	97.8%

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

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

"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."

"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."

"This tool has taken us from having nothing to being very efficient."

"The main benefits end users receive from erwin Data Intelligence include saving time and money while streamlining processes."

"I can estimate that we lowered our time to market by 70 percent right now using these automation scripts, which is a really big thing."

"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."

"The automated data lineage and impact analysis being driven from the mapping documents are astounding in reducing the time to research impact analysis from six to 16 weeks down to minutes, because it's a couple of clicks with a mouse."

"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."

"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."

More erwin 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."

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

"The SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do."

"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."

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

"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."

"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."

"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive."

"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler."

More erwin Data Intelligence cons

Pricing and Cost Advice

Information not available

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

"erwin's pricing was cheaper than its competitors."

"The price is reasonable, and a subscription is required."

"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."

"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."

"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."

"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."

"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."

More erwin Data Intelligence 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

13%

Government

10%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	4
Large Enterprise	15

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...

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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

Collibra Platform vs erwin Data Intelligence

Compared 23% of the time

Microsoft Purview Data Governance vs erwin Data Intelligence

Compared 14% of the time

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

Compared 8% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 7% of the time

Microsoft Purview Data Lifecycle Management vs erwin Data Intelligence

Compared 7% of the time

More erwin Data Intelligence Competitors

Product Reports

Buyer's Guide

Data Masking

March 2026

Download DataMasque product report

Buyer's Guide

erwin Data Intelligence

March 2026

Download erwin Data Intelligence product report

Also Known As

No data available

erwin DG, erwin Data Governance

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 Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?

Automation Scripts: Speeds up development processes through powerful scripts.
Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
Customization Flexibility: Adapts to existing infrastructure for seamless integration.
Comprehensive Visualization: Empowers data visualization and standardization processes.

What benefits and ROI can users expect?

Increased Development Speed: Automation scripts notably enhance development efficiency.
Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
Effective Integration: Seamlessly fits with ETL tools and existing workflows.
Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

Quest Software

Sample Customers

Information Not Available

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Buyer's Guide

DataMasque vs. erwin Data Intelligence

March 2026

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