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Netwrix Data Classification vs Quest Data Intelligence comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jul 16, 2026

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

Netwrix Data Classification
Ranking in Data Governance
21st
Average Rating
10.0
Reviews Sentiment
8.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Quest Data Intelligence
Ranking in Data Governance
17th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
Metadata Management (7th), AI Governance (3rd)
 

Mindshare comparison

As of October 2026, in the Data Governance category, the mindshare of Netwrix Data Classification is 1.4%, up from 1.1% compared to the previous year. The mindshare of Quest Data Intelligence is 2.8%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Quest Data Intelligence2.8%
Netwrix Data Classification1.4%
Other95.8%
Data Governance
 

Featured Reviews

GF
Isms Manager & Information Systems Security at a financial services firm with 201-500 employees
Automated data labeling has reduced manual work and supports our privacy compliance needs
We would like to enforce labeling currently in place. If a document is classified as strictly confidential, we want to be able to apply a profile that can cause documents to expire or revoke access anywhere the document is. We need a security feature so that if we have classified a document as strictly confidential and given it to a third party, that document remains strictly confidential. There has to be a way to enforce it and prevent the document from being shared with any other person apart from the person it was sent to. We do not want AI in security products for now, as AI in security products tends to be risky. AI can improve reporting and detection, but it should not execute.
Jog Raj - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"There is a massive cost saving; it is easy to use, the reporting is clean, and it is simpler to use than the Microsoft DLP solution, Purview."
"Netwrix Data Classification Manager finds the data in a very efficient manner, and the efficacy of the solution is very good."
"It's highly flexible and scalable, offering customers the choice to match their needs and budget."
"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 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."
"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."
"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."
"There is a wide range of widgets that enables the user to find the proper information quickly. The presentation of information is something very valuable."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company."
"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."
 

Cons

"We would like to enforce labeling currently in place. If a document is classified as strictly confidential, we want to be able to apply a profile that can cause documents to expire or revoke access anywhere the document is."
"One of the key issues is its interface and querying capabilities, which can be complex, making it difficult to interpret logs."
"Netwrix Data Classification Manager is very good at network data classification, but it also has to work on endpoint data classification because clients ask for it."
"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."
"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."
"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."
"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."
"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."
"The technical support could be improved."
"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
 

Pricing and Cost Advice

"The initial pricing might seem reasonable, but costs can quickly escalate when adding components."
"Netwrix Data Classification Manager has an affordable price."
"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."
"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."
"Erwin Data Catalog is very expensive."
"There is an additional fee for the server maintenance."
"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"The price is reasonable, and a subscription is required."
"The solution is aggressively priced."
"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."
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Top Industries

By visitors reading reviews
Comms Service Provider
13%
Financial Services Firm
12%
Outsourcing Company
12%
Manufacturing Company
11%
Financial Services Firm
14%
Outsourcing Company
10%
Government
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

What is your experience regarding pricing and costs for Netwrix Data Classification Manager?
There is a cost increase. When Microsoft moved or divided the features, they also added cost to it. In order to get those features back, we will be paying much more than before to get the same feat...
What needs improvement with Netwrix Data Classification Manager?
We would like to enforce labeling currently in place. If a document is classified as strictly confidential, we want to be able to apply a profile that can cause documents to expire or revoke access...
What is your primary use case for Netwrix Data Classification Manager?
We want to discover documents and classify them automatically rather than manually classifying them. We give them labels from internal to confidential to strictly confidential. That way all the doc...
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...
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.
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...
 

Also Known As

No data available
erwin DG, erwin Data Governance, erwin Data Catalog
 

Overview

 

Sample Customers

Information Not Available
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about Netwrix Data Classification vs. Quest Data Intelligence and other solutions. Updated: September 2026.
917,403 professionals have used our research since 2012.