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Netwrix Data Classification vs erwin Data Intelligence comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 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

erwin Data Intelligence
Ranking in Data Governance
17th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
20
Ranking in other categories
AI Governance (3rd)
Netwrix Data Classification
Ranking in Data Governance
30th
Average Rating
10.0
Reviews Sentiment
8.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Data Governance category, the mindshare of erwin Data Intelligence is 1.9%, down from 2.0% compared to the previous year. The mindshare of Netwrix Data Classification is 1.4%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
erwin Data Intelligence1.9%
Netwrix Data Classification1.4%
Other96.7%
Data Governance
 

Featured Reviews

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.
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.

Quotes from Members

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

Pros

"It is a central place for everybody to start any ETL data pipeline builds. This tool is being heavily used, plus it's heavily integrated with all the ETL data pipeline design and build processes. Nobody can bypass these processes and do something without going through this tool."
"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."
"The main benefits erwin Data Intelligence provides to me include better decision-making, saving money and time by applying governance policies and procedures on the actual technical data, ensuring decisions are based on KPIs that are governed from source to end, and providing functionality for data classification to prevent unauthorized access through integration with the infrastructure team using DLP methodology."
"Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."
"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."
"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."
"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 client is thrilled with higher quality, lower-cost products, and the services."
"It's highly flexible and scalable, offering customers the choice to match their needs and budget."
"Netwrix Data Classification Manager finds the data in a very efficient manner, and the efficacy of the solution is very good."
"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."
 

Cons

"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."
"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler."
"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."
"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 in automation, no question."
"In my opinion, the analytics part of erwin Data Intelligence is not satisfactory."
"There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."
"We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server."
"One of the key issues is its interface and querying capabilities, which can be complex, making it difficult to interpret logs."
"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."
"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."
 

Pricing and Cost Advice

"The solution is aggressively priced."
"erwin's pricing was cheaper than its competitors."
"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 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."
"The licensing cost is around $7,000 for user. This is an estimation."
"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 price is too high."
"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."
"Netwrix Data Classification Manager has an affordable price."
"The initial pricing might seem reasonable, but costs can quickly escalate when adding components."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Government
10%
Manufacturing Company
8%
Educational Organization
8%
Financial Services Firm
17%
Construction Company
10%
Manufacturing Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise4
Large Enterprise15
No data available
 

Questions from the Community

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...
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Also Known As

erwin DG, erwin Data Governance
No data available
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Information Not Available
Find out what your peers are saying about Netwrix Data Classification vs. erwin Data Intelligence and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.