Protegrity’s Data Protection Platform vs erwin Data Intelligence by Quest comparison

Protegrity’s Data Protection Platform vs. erwin Data Intelligence by Quest

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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 by ...

Ranking in Data Governance

9th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Protegrity’s Data Protectio...

Ranking in Data Governance

18th

Average Rating

9.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Database Security (7th), Data Masking (4th)

Mindshare comparison

As of June 2025, in the Data Governance category, the mindshare of erwin Data Intelligence by Quest is 2.0%, down from 2.5% compared to the previous year. The mindshare of Protegrity’s Data Protection Platform is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance

Featured Reviews

Roy Pollack

Advisor Application Architect at CPS Energy

The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.

We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. 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.

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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 interface is easy to use. I also like Erwin's automatic data classification and data quality checks."

"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."

"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."

"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."

"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."

"The possibility to write automation scripts is the biggest benefit for us. We have several products with metadata and metadata mapping capabilities. The big difference when we were choosing this product was the ability to run automation scripts against metadata and metadata mappings. Right now, we have a very high level of automation based on these automation scripts, so it's really the core feature for us."

"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 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."

More erwin Data Intelligence by Quest pros

"Its technical support team is helpful."

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

"The product is stable."

"The solution’s pricing is moderate."

Cons

"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."

"The technical support could be improved."

"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."

"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."

"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."

"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."

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

"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 by Quest cons

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

"The solution's UI could be better."

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

Pricing and Cost Advice

"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."

"The price is too high."

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

"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."

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

"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."

More erwin Data Intelligence by Quest 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

Computer Software Company

24%

Financial Services Firm

13%

Government

Non Profit

Financial Services Firm

37%

Computer Software Company

12%

Healthcare Company

Insurance 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 Intelligence by Quest?

The data mapping manager is the most valuable feature.

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

The price is reasonable, and a subscription is required.

What needs improvement with erwin Data Intelligence by Quest?

The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a non-struct...

What do you like most about Protegrity Data Security?

The product is stable.

What needs improvement with Protegrity Data Security?

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

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.

Microsoft Purview Data Governance vs erwin Data Intelligence by Quest

Comparisons

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Alation Data Catalog vs erwin Data Intelligence by Quest

Compared 11% of the time

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

Compared 9% of the time

Collibra Lineage vs erwin Data Intelligence by Quest

Compared 9% of the time

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Compared 28% of the time

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Compared 25% of the time

IBM Security Guardium Data Protection vs Protegrity’s Data Protection Platform

Compared 19% of the time

Microsoft Purview Data Governance vs Protegrity’s Data Protection Platform

Compared 15% of the time

IBM InfoSphere Optim Data Privacy vs Protegrity’s Data Protection Platform

Compared 14% of the time

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Product Reports

erwin Data Intelligence by Quest

Download erwin Data Intelligence by Quest product report

Database Security

Download Protegrity’s Data Protection Platform product report

Protegrity’s Data Protection Platform report

Also Known As

erwin DG, erwin Data Governance

Protegrity Data Security

Overview

The erwin Data Intelligence Suite (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog. Then make it accessible and understandable within context via role-based views. This complete metadata-driven approach to data governance facilitates greater IT and business collaboration.

erwin by Quest

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

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

A $4 billion retail conglomerate and holding company

Protegrity’s Data Protection Platform vs. erwin Data Intelligence by Quest