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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."
"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."
"The data catalog feature is pretty good."
"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."
"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."
"The main benefits end users receive from erwin Data Intelligence include saving time and money while streamlining processes."
"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."
"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."
"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."
 

Cons

"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."
"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive."
"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."
"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."
"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"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."
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
 

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."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"The price is reasonable, and a subscription is required."
"The price is too high."
"The licensing cost is around $7,000 for user. This is an estimation."
"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."
"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
"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."
"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."
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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
9%
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.
916,771 professionals have used our research since 2012.