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Global Data Excellence DEMS vs erwin Data Intelligence by Quest comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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
18
Ranking in other categories
No ranking in other categories
Global Data Excellence DEMS
Ranking in Data Governance
44th
Average Rating
0.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

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 Global Data Excellence DEMS is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Roy Pollack - PeerSpot reviewer
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.
Alejandro Subia - PeerSpot reviewer
Great language features allow users to interact with the solution in their own language, and ROI can be seen within weeks
The initial setup is completely straightforward and not complex at all. The system is not invasive. It connects directly through your agents to your database. There's no integration or migration process needed, and it's very simple. The time to go live is minimum. You can have it running in two weeks. Since it's a solution for corporate governance, you need to have a data governance steering committee that's going to drive the project in the organization. One of the key benefits of the solution is that it's directly for the user, so you don't need anyone else for setup but the real user, the person that wants to get the best out of their data. You start with the business owner, and they define their business needs. They see what data you need, how you're going to use it, and what's going to be corrected. Then you start playing the data stewards, and that's all that you need.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The solution saves time in data discovery and understanding our entire organization's data."
"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."
"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."
"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."
"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."
"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."
"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."
"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 not only a software solution. It is also based on a direct policy. You get a methodology for data governance and the solution that supports this methodology, which makes things much easier. In addition, this is the only solution right now in the market that has an approach directly directed to the value. By value, I am referring to a tangible value raising money. It has an aspect that is called governed by value. We only focus on the data that is actually bringing a monetary value to your organization or your business process. It is so much simpler working around this system. It has a lot of intelligence embedded in it, and it does a lot of things automatically. It just hooks on to your virtual databases, and you are ready to go in hours. It is an all-in-one solution in which you get data governance, data quality, business transformation, and business excellence."
"The most valuable feature is the semantic linguistic artificial intelligence that allows the user to have contact with the system in their natural language."
 

Cons

"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."
"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."
"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."
"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 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."
"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 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."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"Its interface could be simpler. Sometimes, you need to go through many clicks in order to find something in the software. You need to move from one thing to another to find something."
"It could be nice to have a little update on the menu to get it more up-to-date with current trends and to make it pop out more when you visit the site."
 

Pricing and Cost Advice

"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."
"The licensing cost was very affordable at the time of purchase. It has since been taken over by erwin, then Quest. The tool has gotten a bit more costly, but they are adding more features very quickly."
"erwin's pricing was cheaper than its competitors."
"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"The licensing cost is around $7,000 for user. This is an estimation."
"The solution is aggressively priced."
"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."
"This is the only company that I've worked with that has a very good way of thinking and placing itself in the buyer's shoes. They offer a pretty competitive price. They understand that the market is different in our economy for different clients, which makes it easier to get the products into the market. If needed, they are pretty open to adjusting the price on the case-by-case scenario. They understand the Latin American market. This is something that has been impossible with other companies or data governance care providers. The prices were much higher for these companies, and they don't understand our economy and market. There are a lot of local taxes that we pay locally to get any solution down here. To give you an idea, there is more or less a 60% increase in the price of any product that comes to Ecuador."
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Top Industries

By visitors reading reviews
Computer Software Company
24%
Financial Services Firm
13%
Government
9%
Non Profit
6%
No data available
 

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 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...
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Also Known As

erwin DG, erwin Data Governance
No data available
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Givaudan, Firmenich, Bacardi, Manitowoc, Romande Energie, Noveli, BNP Paribas, Michelin, IUCN 
Find out what your peers are saying about Global Data Excellence DEMS vs. erwin Data Intelligence by Quest and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.