Global Data Excellence DEMS vs Quest Data Intelligence comparison

Why PeerSpot?

Global Data Excellence and Quest Software are both solutions in the Data Governance category. Global Data Excellence is ranked #39, while Quest Software is ranked #18 with an average rating of 8.0. Global Data Excellence holds a 0.9% mindshare in DG, compared to Quest Software’s 2.5% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution.

Global Data Excellence DEMS

Read 2 Global Data Excellence DEMS reviews

919 Views
919 Comparison Views

0% willing to recommend

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

5,399 Views
4,265 Comparison Views

100% willing to recommend

Global Data Excellence DEMS

Quest Data Intelligence

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Executive SummaryUpdated on Jul 16, 2026

Global Data Excellence DEMS and erwin Data Intelligence compete in the data management space. Erwin Data Intelligence often takes the lead due to its comprehensive features, despite Global Data Excellence DEMS being recognized for its pricing and customer support.

Features:Global Data Excellence DEMS provides strong data governance capabilities including metadata management and compliance adherence. Erwin Data Intelligence offers features like data cataloging, impact analysis, and robust integration capabilities. The ability to manage complex data landscapes gives erwin Data Intelligence an advantage in feature robustness.

Ease of Deployment and Customer Service:Erwin Data Intelligence has a flexible deployment model with options for cloud and on-premise setups, supported by responsive customer service. Global Data Excellence DEMS offers a straightforward deployment process favoring an on-premise approach. Both provide effective customer support, but the broader deployment flexibility of erwin Data Intelligence is notable.

Pricing and ROI:Global Data Excellence DEMS offers a competitive pricing structure attractive to budget-conscious buyers, contributing to its positive ROI due to cost-effectiveness. Erwin Data Intelligence incurs a higher upfront cost justified by its extensive features and support, offering favorable long-term ROI, aligning with enterprises prioritizing comprehensive data management over initial costs.

To learn more, read our detailed Global Data Excellence DEMS vs. Quest Data Intelligence Report (Updated: August 2026).

Buyer's Guide

Global Data Excellence DEMS vs. Quest Data Intelligence

August 2026

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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

Global Data Excellence DEMS

Ranking in Data Governance

39th

Average Rating

0.0

Number of Reviews

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

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
Product	Mindshare (%)
Quest Data Intelligence	2.5%
Global Data Excellence DEMS	0.9%
Other	96.6%

Data Governance

Featured Reviews

Alejandro Subia

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.

Read full review

Jog Raj

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.

Read full review

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."

"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."

"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 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."

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

"The solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple."

"The automated data lineage and impact analysis being driven from the mapping documents are astounding in reducing the time to research impact analysis from six to 16 weeks down to minutes, because it's a couple of clicks with a mouse."

"Data governance is helping us become even a better company because we know our data and how to use it."

"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."

"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."

More Quest Data Intelligence pros

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."

"In my opinion, the analytics part of erwin Data Intelligence is not satisfactory."

"The technical support could be improved."

"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 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 in automation, no question."

"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."

"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."

"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."

More Quest Data Intelligence cons

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

"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."

"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."

"Erwin Data Catalog is very expensive."

"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 a subscription is required."

"The solution is aggressively priced."

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

More Quest Data Intelligence pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Government

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	16

Questions from the Community

Ask a question

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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...

See all answers

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.

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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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Comparisons

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Compared 17% of the time

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Compared 16% of the time

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Compared 11% of the time

Collibra Platform vs Global Data Excellence DEMS

Compared 10% of the time

K2View vs Global Data Excellence DEMS

Compared 8% of the time

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Collibra Platform vs Quest Data Intelligence

Compared 18% of the time

Alation Data Catalog vs Quest Data Intelligence

Compared 10% of the time

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

Compared 7% of the time

Microsoft Purview Data Governance vs Quest Data Intelligence

Compared 5% of the time

Ataccama ONE Platform vs Quest Data Intelligence

Compared 4% of the time

More Quest Data Intelligence Competitors

Product Reports

Buyer's Guide

Data Governance

August 2026

Download Global Data Excellence DEMS product report

Buyer's Guide

Quest Data Intelligence

August 2026

Download Quest Data Intelligence product report

Also Known As

No data available

erwin DG, erwin Data Governance, erwin Data Catalog

Overview

Global Data Excellence DEMS offers a robust platform that empowers businesses to harness data-driven insights and drive efficiency in decision-making processes, fostering enhanced data governance and strategic advancement.

Global Data Excellence DEMS functions as a comprehensive platform facilitating improved data management and governance. It aids companies in transforming raw data into actionable insights, ensuring compliance and fostering innovation. The implementation of leading-edge analytics allows businesses to optimize operations, yielding significant value from their data assets. This approach to data management not only streamlines operations but also enhances productivity across multiple sectors.

What are the most important features of Global Data Excellence DEMS?

Data Governance: Streamlines governance processes to improve data accuracy and reliability.
Analytics and Insights: Provides advanced analytical tools to derive actionable insights from data.
Compliance Management: Ensures adherence to global standards.
Scalability: Supports growing data management needs seamlessly.

What benefits and ROI should users evaluate in reviews?

Enhanced Efficiency: Drives optimal resource utilization and time management.
Cost Savings: Reduces operational costs through improved data processes.
Risk Mitigation: Minimizes business risks by ensuring data integrity and compliance.
Innovation Enablement: Promotes strategic thinking through informed insights.

Global Data Excellence DEMS is particularly beneficial for industries such as finance, healthcare, and manufacturing, where data accuracy and compliance are crucial. By adopting this platform, these sectors can expect streamlined processes and enhanced decision-making capabilities that are grounded in reliable data management practices, leading to significant operational improvements and market competitiveness.

Global Data Excellence

erwin Data Intelligence is a comprehensive platform for metadata management, data cataloging, and governance. It enables organizations to gain insights, improve traceability, and streamline compliance through its advanced features.

Focusing on data lineage, metadata repositories, and seamless integrations, erwin Data Intelligence provides a unified perspective of enterprise data. Its robust capabilities include Smart Data Connectors for automation, efficient data visualization with mind maps, and adaptable metadata properties. While the platform integrates well into existing systems, areas for improvement include automation, SDK inconsistencies, and the need for better data quality assessments. Use cases highlight its importance in enhancing business data models and regulatory compliance.

What are the key features of erwin Data Intelligence?

Single Source of Truth: Centralizes data for consistent information across the organization.
Smart Data Connectors: Automate connections to data sources, enhancing efficiency.
Data Lineage: Tracks data pathways for better traceability and understanding.
Business Glossaries: Enables clear definitions and shared vocabulary for all users.
Metadata Management: Streamlines metadata organization and retrieval.
Impact Analysis: Assesses implications of data changes rapidly and accurately.

What benefits should users look for in reviews?

Enhanced Efficiency: Automation scripts reduce manual processes and increase productivity.
Improved Data Visualization: Mind maps facilitate an intuitive understanding of complex data.
Customizable Properties: Adapt metadata attributes to fit specific organizational requirements.
Unified View: Offers a comprehensive perspective of data governance practices.

Industries implementing erwin Data Intelligence often focus on mapping data sources and integrating governance with ETL tools. This supports comprehensive data management strategies, enabling business teams to better locate, understand, and utilize data effectively. Its application in metadata management and automated reporting is particularly valuable in sectors requiring stringent regulatory compliance.

Quest Software

Sample Customers

Givaudan, Firmenich, Bacardi, Manitowoc, Romande Energie, Noveli, BNP Paribas, Michelin, IUCN

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Buyer's Guide

Global Data Excellence DEMS vs. Quest Data Intelligence

August 2026

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