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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
17th
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 October 2026, in the Data Governance category, the mindshare of Global Data Excellence DEMS is 1.0%, up from 0.2% compared to the previous year. The mindshare of Quest Data Intelligence is 2.8%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Quest Data Intelligence2.8%
Global Data Excellence DEMS1.0%
Other96.2%
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

"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."
"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 most valuable feature is the semantic linguistic artificial intelligence that allows the user to have contact with the system in their natural language."
"The return on investment is immediate because you start gaining money that you were probably losing without the solution."
"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."
"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."
"The main benefits end users receive from erwin Data Intelligence include saving time and money while streamlining processes."
"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."
"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 data mapping manager is the most valuable feature."
"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."
"The client is thrilled with higher quality, lower-cost products, and the services."
 

Cons

"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."
"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."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"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 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."
"The data quality assessment requires third-party components and a separate license."
"Improvement is required for the AIMatch feature, which is supposed to help automatically discover relationships in data."
"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."
"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."
 

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."
"The licensing cost is around $7,000 for user. This is an estimation."
"erwin's pricing was cheaper than its competitors."
"The price is reasonable, and a subscription is required."
"The solution is aggressively priced."
"The price is too high."
"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."
"There is an additional fee for the server maintenance."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Outsourcing Company
10%
Government
8%
Construction 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: September 2026.
917,433 professionals have used our research since 2012.