Protegrity’s Data Protection Platform vs erwin Data Modeler comparison

Quest Software and Protegrity are both solutions in the Data Governance category. Additionally, 95% of Quest Software users are willing to recommend the solution, compared to 100% of Protegrity users who would recommend it.

erwin Data Modeler

Read 39 erwin Data Modeler reviews

95% willing to recommend

Protegrity’s Data Protectio...

Read 3 Protegrity’s Data Protection Platform reviews

1,041 Views
531 Comparison Views

100% willing to recommend

erwin Data Modeler

Protegrity’s Data Protectio...

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Executive Summary

We performed a comparison between erwin Data Modeler and Protegrity’s Data Protection Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Collibra and others in Data Governance.

To learn more, read our detailed Data Governance Report (Updated: July 2025).

Buyer's Guide

Data Governance

July 2025

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Helped 865,384 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

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (4th), Business Process Design (10th)

Protegrity’s Data Protectio...

Average Rating

9.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Database Security (6th), Data Governance (16th), Data Masking (4th)

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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Vinoth Raj Prabhakaran

Senior Data Architect at Tata Consultancy Services

Beneficial data security, good support, and straightforward initial setup

The initial setup of Protegrity Data Security was straightforward. However, we had a few problems, it's not multi-tenanted. It does not have a hierarchy of roles and differential priorities. To have the initial sandbox version of Protegrity Data Security up and running, took approximately one week. However, it needed to be set up in a resilient way because if it fails, then it is going to be a challenge bringing back the lost information. We have to be particular in terms of architecting it correctly which is taking us a bit of time. We are anticipating anywhere between four to six weeks to be finished.

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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 solution’s code generation ensures accurate engineering of data sources, as there is no development time. Code doesn't even have to be reviewed. We have been using this solution for so long and all the code which has been generated is accurate with the requirements. Once we generate the DDLs out of the erwin tools, the development team does a quick review of the script line by line. They will just be running the script on the database and looking into other requirements, such as the index. So, there is less effort from development side to create tables or build a database."

"There is absolutely no problem with the stability."

"Another feature of erwin is that it can help you enforce your naming standards. It has little modules that you can set up and, as you're building the data model, it's ensuring that they conform to the naming standards that you've developed."

"We use the Forward and Reverse Engineering tools to help us speed things up and create things that would have to be done otherwise by hand. E.g., getting a database into a data model format or vice versa."

"erwin has versioning so you can keep versions, over time, of those models and you can compare any version to any version. If you're looking at a specific database and you want to see what changed over time, that's really useful. You can go back to a different version or connect that to your change-control processes so you can see what was released when."

"One of the best aspects of the tool is its reverse engineering capability."

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

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

More erwin Data Modeler pros

"The most valuable feature of Protegrity Data Security is the reduction of information being exposed."

"The solution’s pricing is moderate."

"Its technical support team is helpful."

"The product is stable."

Cons

"I am not so happy with its speed. Sometimes, it can have problems with connections."

"The erwin Data Modeler is quite complex to use."

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

"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."

"The solution's model mark could be better because it crashes sometimes."

"I would like to see the ability to support more NoSQL platforms more quickly. In addition, enhancing the graphics to render more quickly would be beneficial for any user."

"It is not a very stable solution. I rate the stability five out of ten."

"The only real complaint I have is the time it takes to do a database comparison on a large model. If they could speed that up, that would be the only thing I can think of that needs improvement."

More erwin Data Modeler cons

"Protegrity Data Security could improve by having more integration."

"The solution's UI could be better."

"Protegrity is using a different OS which has some bugs. Sometimes it's causing an initialization error."

Pricing and Cost Advice

"Likewise, the solution is a little pricey."

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

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

"It is not a very expensive solution. Only the licensing and maintenance fee needs to be paid."

"I don't specifically know what we're paying now. About three years ago, in another organization, I have this memory of 6,000 AUD a seat or something like that, but I am not sure. In the mid-2000s, it was something like 1,200 AUD a seat. I get the impression that there was a price jump when it was spun off from CA as a separate company, which is understandable, but it could sometimes be a barrier in some organizations picking it up. I haven't talked to erwin people yet, but I'm going to suggest to them that they could perhaps think of having an entry-level product that is priced a bit lower, and then, you can buy the extra suite."

"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."

"Price-wise, erwin Data Modeler is okay. You can purchase a single license and it is not very expensive."

"An issue right now would be that erwin doesn't have a freely available browser (that I am aware of) for people who are not data modelers or data engineers that a consumer could use to look at the data models and play with it. This would not be to make any changes, but just to visually look at what exists. There are other products out there which do have end user browsers available and allow them to access data models via the data modeling tool."

More erwin Data Modeler pricing and cost advice

"We pay for a few additional services apart from its licenses."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Government

Computer Software Company

Financial Services Firm

38%

Computer Software Company

12%

Insurance Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

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

The product is expensive. I rate the product’s pricing a nine out of ten, where one is cheap and ten is expensive.

See all answers

What needs improvement with erwin Data Modeler by Quest?

As a documenting tool, it's solid, though its reporting could be more robust. The reporting mechanisms could be more intuitive regarding report creation. It can generate reports in CSV files, displ...

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What do you like most about Protegrity Data Security?

The product is stable.

See all answers

What needs improvement with Protegrity Data Security?

Protegrity is using a different OS, which has some bugs. Sometimes, it's causing an initialization error.

See all answers

What is your primary use case for Protegrity Data Security?

We use the solution to encrypt sensitive data like PII data. Any unauthorized person cannot find the exact sensitive value in case of data issues. We are using that tool to protect sensitive data.

See all answers

Comparisons

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Compared 36% 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

Visio vs erwin Data Modeler

Compared 6% of the time

Sparx Systems Enterprise Architect vs erwin Data Modeler

Compared 6% of the time

More erwin Data Modeler Competitors

Immuta vs Protegrity’s Data Protection Platform

Compared 18% of the time

Microsoft Purview Data Governance vs Protegrity’s Data Protection Platform

Compared 14% of the time

OpenText Data Privacy and Protection Foundation (Voltage) vs Protegrity’s Data Protection Platform

Compared 13% of the time

Solix Enterprise Data Management vs Protegrity’s Data Protection Platform

Compared 11% of the time

SAS Data Management vs Protegrity’s Data Protection Platform

Compared 9% of the time

More Protegrity’s Data Protection Platform Competitors

Product Reports

Buyer's Guide

erwin Data Modeler

August 2025

Download erwin Data Modeler product report

Buyer's Guide

Database Security

July 2025

Protegrity’s Data Protection Platform report

Download Protegrity’s Data Protection Platform product report

Also Known As

erwin DM

Protegrity Data Security

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

Protegrity’s Data Protection Platform offers robust data security solutions tailored for enterprises seeking advanced data protection measures.

Designed for businesses needing comprehensive data protection, Protegrity’s Data Protection Platform provides encryption, anonymization, and monitoring to secure sensitive data across multiple environments. Its adaptability allows organizations to handle complex data privacy regulations.

What are the key features of Protegrity’s Data Protection Platform?

Encryption: Safeguards data both at rest and in transit with sophisticated encryption technologies.
Anonymization: Ensures compliance and privacy by anonymizing personal data.
Monitoring: Continuous data activity monitoring helps in detecting suspicious activities and preventing breaches.

What benefits and ROI should users consider?

Regulatory Compliance: Meets standards like GDPR and CCPA, reducing legal risks.
Cost Efficiency: Minimizes data breach costs through effective data protection.
Scalability: Supports growing data needs without compromising security.

Protegrity’s Data Protection Platform is particularly beneficial in sectors such as finance, healthcare, and retail, providing tailored security measures that protect sensitive customer data and foster trust. Its industry-specific solutions enhance data integrity and privacy, supporting organizations in maintaining competitive advantages.

Protegrity

Sample Customers

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

A $4 billion retail conglomerate and holding company

Find out what your peers are saying about Microsoft, Informatica, Collibra and others in Data Governance. Updated: July 2025.

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