Netwrix Data Classification vs erwin Data Modeler comparison

Quest Software and Netwrix are both solutions in the Data Governance category. Quest Software is ranked #14 with an average rating of 8.5, while Netwrix is ranked #31. Quest Software holds a 0.0% mindshare in DG, compared to Netwrix’s 1.2% mindshare. Additionally, 95% of Quest Software users are willing to recommend the solution, compared to 100% of Netwrix users who would recommend it.

erwin Data Modeler

Read 40 erwin Data Modeler reviews

4,967 Views
0 Comparison Views

95% willing to recommend

Netwrix Data Classification

Read 2 Netwrix Data Classification reviews

520 Views
520 Comparison Views

100% willing to recommend

erwin Data Modeler

Netwrix Data Classification

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between erwin Data Modeler and Netwrix Data Classification 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 Netwrix Data Classification vs. erwin Data Modeler Report (Updated: September 2025).

Buyer's Guide

Netwrix Data Classification vs. erwin Data Modeler

September 2025

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Helped 869,566 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

erwin Data Modeler

Ranking in Data Governance

14th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (3rd), Business Process Design (9th)

Netwrix Data Classification

Ranking in Data Governance

31st

Average Rating

0.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of erwin Data Modeler is 0.0%. The mindshare of Netwrix Data Classification is 1.2%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
erwin Data Modeler	0.0%
Netwrix Data Classification	1.2%
Other	98.8%

Data Governance

Featured Reviews

JorgeSanz

Data Governance Senior Advisor at Abu Dhabi National Oil Company

Streamline data modeling and automate network changes for increased efficiency

The initial setup depends on the tool if you are using the data model environment. Stopping the server could be complex and require strong expertise. If you have everything set up and configured, Erwin is straightforward. You can deploy it in a few hours. In our case, it took a couple of months to address internal conditions, assign machines, and set up everything for the services. I rate the initial setup a six out of ten, where one is difficult and ten is easy.

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Simonas Palevicius

Business Development Manager at BAKOTECH

A comprehensive data classification and information security solution that offers robust functionality, scalability, and competitive pricing

The standout aspect of this solution is its price performance. It's highly flexible and scalable, offering customers the choice to match their needs and budget. It is also user-friendly and effective. Even if you opt for just one module, such as Active Directory, you'll immediately see automated, valuable insights when you install and run the auditor. From a network perspective, it offers an array of well-structured rules. Unlike other systems that require extensive configurations, Netwrix simplifies the process. It's more intuitive and forgiving, meaning you don't need to be an expert to get value from it. Its strength lies in its predefined rules that generate automated reports and more without requiring in-depth knowledge of the system.

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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

"Being able to point it to a database and then pull the metadata is a valuable feature. Another valuable feature is being able to rearrange the model so that we can display it to users. We are able to divide the information into subject areas, and we can divide the data landscape into smaller chunks, which makes it easier to understand. If you had 14 subject areas, 1,000 entities, and 6,000 columns, you can't quite understand it all at once. So, being able to have the same underlying model but only display portions of it at a time is extremely useful."

"The modeling portion of the tool is the most valuable. There are some notes, naming standards, and other functions that we use as well. There's a whole boatload of functionality in this thing and we use maybe 10% of it. It seems to be pretty common that not all the functionality is fully utilized. But it's just got gobs and gobs of stuff that you can implement if you so choose to."

"The product allows us to reuse entities and attributes."

"It's a safeguard for me because I'm always concerned that somebody is free handing it and will forget a key coming from the parent. The migrating keys are a great feature. Identifying relationships, non-identifying relationships, and being visually right there to understand the differences are great features. erwin is key to being able to visually understand whatever the customer is requesting. They'll give you words on a paper, but once they can actually view it as a picture, it really comes to life. The data comes to life to where they understand exactly what they're asking for."

"The logical model gives developers, as well as the data modelers, an understanding of exactly how each object interacts with the others, whether a one-to-many, many-to-many, many-to-one, etc."

"The most valuable features are being able to visualize the data in the diagrams and transform those diagrams into physical database deployments. These features help, specifically, to integrate the data. When the source data is accumulated and modeled, the target model is in erwin and it helps resolve the data integration patterns that are required to map the data to accommodate a model."

"It is a scalable solution...The technical support team is fine."

"I have worked with erwin Data Modeler for quite some time and familiarity is its most valuable feature."

More erwin Data Modeler pros

"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."

Cons

"I would like to see the reporting capabilities be more dynamic and more inclusive of information. The API is very sparsely understood by people across the user community."

"The modeling product itself is far and above anything else that I've seen on the market. There are certain inconsistencies when it comes to keeping up with other platforms' databases in the reverse-engineering process. It should also support more database platforms."

"erwin is not as robust as a data warehousing project I've been on in the past."

"I would like the solution to be more user-friendly to deploy."

"I would like to have more data sources from other, different vendors. In recent years, the vendor has reduced the number of data sources, and I would like to have more data sources for every brand. For example, with Oracle, I would like to have compatibility for many versions, including old ones, not just the most recent."

"There is a lack of local support in the China region."

"Complete Compare is set up only to compare properties that are of interest to us, but some of the differences cannot be brought over from one version of the model to another. This is despite the fact that we are clicking to bring objects from one place to another. Therefore, it's hard to tell at times if Complete Compare is working as intended without having to manually go into the details and check everything. If it could be redesigned to a degree where it is easier to use when we bring things over from one site to another and be sure that it's been done correctly, that would be nice to have. We would probably use the tool more often if the Complete Compare were easier to use."

"We are planning to move, in 2021, into their server version, where multiple data modelers can work at the same time and share their models. It has become a pain point to merge the models from individual desktops and get them into a single data model, when multiple data modelers are working on a particular project. It becomes a nightmare for the senior data modeler to bring them together, especially when it comes to recreating them when you want to merge them."

More erwin Data Modeler 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."

Pricing and Cost Advice

"The primary reasons that erwin was selected were that it was much more affordable for us [than Embarcadero] and it was easily maintainable."

"erwin Data Modeler by Quest is an expensive solution."

"Likewise, the solution is a little pricey."

"The price should be lower in order to be on the same level as its competitors."

"There is either a one-year or three-year license. It is not a pay-as-you-go license like a SaaS solution. It’s more of a traditional licensing. They are a little bit on the pricier side."

"There are two license options and the pricing is reasonable."

"The pricing of the solution is cheap. I rate the pricing a five out of ten."

"erwin has this option where you pay a one-time fee and you have the license for six years, which makes sense because I don't upgrade my database engine every other year. I have an application that depends on it. This is something weird about PowerDesigner. There are no additional costs beyond the standard licensing fee."

More erwin Data Modeler 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

18%

Manufacturing Company

Government

Computer Software Company

Financial Services Firm

24%

Government

13%

Computer Software Company

12%

Legal Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	3
Large Enterprise	29

No data available

Questions from the Community

What do you like most about erwin Data Modeler by Quest?

Forward engineering, DDL generation, reverse engineering, and reporting are the most valuable features of the solution.

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What is your experience regarding pricing and costs for erwin Data Modeler by Quest?

I do not recall the pricing from about a year and a half ago, but it seems reasonable.

See all answers

What needs improvement with erwin Data Modeler by Quest?

erwin Data Modeler could improve its UI as it still feels old school and not very modern. There are many features, and I would expect good documentation detailing each feature, including when and h...

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What do you like most about Netwrix Data Classification Manager?

Netwrix Data Classification Manager finds the data in a very efficient manner, and the efficacy of the solution is very good.

See all answers

What is your experience regarding pricing and costs for Netwrix Data Classification Manager?

Netwrix Data Classification Manager has an affordable price. Since the solution is priced according to the client's market size, everybody can afford it.

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What needs improvement with Netwrix Data Classification Manager?

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. Although the solution is easy to...

See all answers

Comparisons

SAP PowerDesigner vs erwin Data Modeler

Compared 39% of the time

IDERA ER/Studio vs erwin Data Modeler

Compared 18% of the time

Lucidchart vs erwin Data Modeler

Compared 12% of the time

Sparx Systems Enterprise Architect vs erwin Data Modeler

Compared 6% of the time

Visio vs erwin Data Modeler

Compared 6% of the time

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Microsoft Purview Data Governance vs Netwrix Data Classification

Compared 36% of the time

Varonis Platform vs Netwrix Data Classification

Compared 21% of the time

Microsoft Purview Information Protection vs Netwrix Data Classification

Compared 20% of the time

Veritas Data Insight vs Netwrix Data Classification

Compared 17% of the time

Ping Identity Platform vs Netwrix Data Classification

Compared 7% of the time

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Product Reports

Buyer's Guide

erwin Data Modeler

October 2025

Download erwin Data Modeler product report

Buyer's Guide

Data Governance

September 2025

Download Netwrix Data Classification product report

Also Known As

erwin DM

No data available

Overview

Erwin Data Modeler provides an effective approach to visualizing and managing data models. It assists in creating, reversing, and synchronizing data models with ease, supporting logical and physical transitions while enhancing understanding across teams.

Erwin Data Modeler is a comprehensive tool designed for professional database management. It offers capabilities to organize and enforce standards, automating script generation with robust reverse engineering and DDL output. Users can manage complex data environments, capitalize on integration with data intelligence, and maintain large-scale databases smoothly. Despite its strengths, improvements in multi-language support, database integration, and reporting features are needed. Users benefit from extensive support for conceptual, logical, and physical database modeling, enhancing architectural design and data governance for platforms like SQL Server, Oracle, and Teradata.

What are the key features of Erwin Data Modeler?

Visual Representation: Facilitates clear visualization of data models, aiding comprehension.
Versioning and Editing: Enhance usability with versioning and bulk editing capabilities.
Reverse Engineering: Offers powerful tools for reverse engineering and DDL generation.
Integration: Aligns with data intelligence to streamline database management.
Naming Standards: Enforces consistency with automated script creation.

What benefits should users consider in Erwin Data Modeler reviews?

Collaboration: Promotes team understanding and collaboration through visual tools.
Automation: Reduces manual effort through automated processes and integration.
Scalability: Handles large database management efficiently, crucial for enterprise settings.
Data Governance: Facilitates effective data governance with structured modeling.

Erwin Data Modeler finds application in industries focused on robust data management, implementing it for enterprise data warehouses, business domain models, and operational systems. It supports architectural design and governance, aligning with business applications demanding precise data representation and visualization.

Quest Software

Netwrix Data Classification effectively manages and categorizes data to enhance data security and regulatory compliance. Users praise its robust data classification, automatic scanning, easy integration, customizable policies, and comprehensive reporting. The tool improves efficiency, communication, and collaboration, driving productivity and streamlined workflows.

Netwrix

Sample Customers

Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples

Information Not Available

Buyer's Guide

Netwrix Data Classification vs. erwin Data Modeler

September 2025

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