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Global Data Excellence DEMS vs Quest Data Intelligence comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jul 16, 2026

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

Global Data Excellence DEMS
Ranking in Data Governance
39th
Average Rating
0.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Quest Data Intelligence
Ranking in Data Governance
18th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
Metadata Management (7th), AI Governance (3rd)
 

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of Global Data Excellence DEMS is 0.9%, up from 0.1% compared to the previous year. The mindshare of Quest Data Intelligence is 2.5%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Quest Data Intelligence2.5%
Global Data Excellence DEMS0.9%
Other96.6%
Data Governance
 

Featured Reviews

Alejandro Subia - PeerSpot reviewer
General Manager at Datia
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.
Jog Raj - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"I would recommend this solution to anybody interested in data governance because if they want to get fast and tangible results, this is the only way to go."
"The return on investment is immediate because you start gaining money that you were probably losing without the solution."
"The most valuable feature is the semantic linguistic artificial intelligence that allows the user to have contact with the system in their natural language."
"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."
"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."
"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."
"By using the data catalog, we have definitely improved in terms of maturity as a data-driven decision-maker organization, and we are now getting to a level where everybody understands the data, understands how it is organized, and how they can use this data for different business decisions."
"erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."
"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."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"The client is thrilled with higher quality, lower-cost products, and the services."
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."
 

Cons

"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."
"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."
"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."
"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."
"The technical support could be improved."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"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."
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
"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."
 

Pricing and Cost Advice

"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."
"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"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."
"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."
"The licensing cost is around $7,000 for user. This is an estimation."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Government
9%
Construction Company
8%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

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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...
 

Also Known As

No data available
erwin DG, erwin Data Governance, erwin Data Catalog
 

Overview

 

Sample Customers

Givaudan, Firmenich, Bacardi, Manitowoc, Romande Energie, Noveli, BNP Paribas, Michelin, IUCN 
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about Global Data Excellence DEMS vs. Quest Data Intelligence and other solutions. Updated: August 2026.
911,493 professionals have used our research since 2012.