Netwrix Data Classification vs erwin Data Intelligence comparison

Netwrix Data Classification vs. erwin Data Intelligence

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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

erwin Data Intelligence

Ranking in Data Governance

19th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Governance (3rd)

Netwrix Data Classification

Ranking in Data Governance

22nd

Average Rating

10.0

Reviews Sentiment

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Governance category, the mindshare of erwin Data Intelligence is 2.0%, up from 1.9% compared to the previous year. The mindshare of Netwrix Data Classification is 1.5%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
erwin Data Intelligence	2.0%
Netwrix Data Classification	1.5%
Other	96.5%

Data Governance

Featured Reviews

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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Gregory Falowo

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.

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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

"The data mapping manager is the most valuable feature."

"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."

"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."

"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."

"Erwin DI checked all the boxes for us."

"Data governance is helping us become even a better company because we know our data and how to use it."

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

"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

"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."

"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."

"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."

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

"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 data quality assessment requires third-party components and a separate license."

"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."

"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."

More erwin Data Intelligence cons

"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."

"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."

Pricing and Cost Advice

"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."

"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 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."

"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."

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

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

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

More erwin Data Intelligence 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."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Government

Manufacturing Company

Construction Company

Financial Services Firm

14%

Comms Service Provider

11%

Construction Company

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

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...

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?

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...

Collibra Platform vs erwin Data Intelligence

Comparisons

Compared 22% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 9% of the time

Microsoft Purview Data Governance vs erwin Data Intelligence

Compared 9% of the time

Global Data Excellence DEMS vs erwin Data Intelligence

Compared 6% of the time

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

Compared 5% of the time

More erwin Data Intelligence Competitors

Microsoft Purview Data Governance vs Netwrix Data Classification

Compared 19% of the time

Varonis Platform vs Netwrix Data Classification

Compared 17% of the time

PK Protect Endpoint Manager vs Netwrix Data Classification

Compared 7% of the time

iomete vs Netwrix Data Classification

Compared 7% of the time

Dasera vs Netwrix Data Classification

Compared 6% of the time

More Netwrix Data Classification Competitors

Product Reports

erwin Data Intelligence

Download erwin Data Intelligence product report

Data Governance

Download Netwrix Data Classification product report

Also Known As

erwin DG, erwin Data Governance

No data available

Overview

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

Netwrix Data Classification automatically discovers and classifies sensitive and regulated data across file systems, Microsoft 365, SharePoint, Exchange, OneDrive, databases, and other cloud and on-premises environments. As a core component of Netwrix data security posture management (DSPM), it enables organizations to understand where sensitive data resides, who has access to it, and how it is exposed.

The solution uses advanced content analysis and customizable classification rules to identify personally identifiable information (PII), financial data, intellectual property, regulated records, and other sensitive content. Classification tags are written directly to files and metadata, enabling integration with data loss prevention solutions, access governance controls, and security monitoring tools.

Netwrix Data Classification also supports automated remediation workflows. Organizations can move sensitive files to secure locations, adjust access permissions, redact sensitive content, apply labels, and identify redundant, obsolete, and trivial (ROT) data for cleanup. By combining data discovery, effective permissions analysis, and automation, it helps reduce data exposure and strengthen compliance with regulations such as GDPR, HIPAA, and PCI DSS.

Key use cases

• Discover sensitive and regulated data across hybrid environments

• Identify overexposed data by analyzing effective permissions

• Remediate data risk with automated policy actions and workflows

• Identify and clean up redundant, obsolete, and trivial (ROT) data

• Protect intellectual property with content-based classification and tagging

• Support compliance with predefined classification rules aligned to regulatory standards

• Strengthen data loss prevention effectiveness with embedded classification tags

Netwrix

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Information Not Available

Netwrix Data Classification vs. erwin Data Intelligence