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Global Data Excellence DEMS vs erwin Data Intelligence comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 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

erwin Data Intelligence
Ranking in Data Governance
16th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
20
Ranking in other categories
AI Governance (3rd)
Global Data Excellence DEMS
Ranking in Data Governance
41st
Average Rating
0.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Data Governance category, the mindshare of erwin Data Intelligence is 1.9%, down from 2.0% compared to the previous year. The mindshare of Global Data Excellence DEMS is 0.8%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
erwin Data Intelligence1.9%
Global Data Excellence DEMS0.8%
Other97.3%
Data Governance
 

Featured Reviews

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.
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.

Quotes from Members

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

Pros

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

Cons

"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"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."
"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."
"The data quality assessment requires third-party components and a separate license."
"It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion."
"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 solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"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."
"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."
 

Pricing and Cost Advice

"The price is reasonable, and a subscription is required."
"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 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 price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."
"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."
"There is an additional fee for the server maintenance."
"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
Financial Services Firm
14%
Government
10%
Manufacturing Company
8%
Educational Organization
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise4
Large Enterprise15
No data available
 

Questions from the Community

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...
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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 and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.