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Quest Data Intelligence vs erwin Data Modeler comparison

 

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:
 

ROI

Sentiment score
4.5
erwin Data Modeler enhances productivity and efficiency by automating design processes, reducing errors, and supporting diverse database management needs.
Sentiment score
5.2
erwin Data Intelligence improved productivity, reduced costs, and enhanced efficiency by streamlining data processes and reducing IT dependency.
If three engineers save ten hours each per month using erwin Data Modeler versus manual modeling, that equals three hundred sixty hours saved per year.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
Data Architect at a energy/utilities company with 10,001+ employees
If the modeling is compromised, then the entire structure will be compromised.
Senior Data Architect at a computer software company with 1,001-5,000 employees
Compared to competitor products like Collibra, erwin Data Intelligence is more cost-effective, providing a data catalog and data lineage views without the high costs associated with governance software.
Senior Consultant at a computer software company with 11-50 employees
 

Customer Service

Sentiment score
5.5
Erwin Data Modeler support is skilled and helpful, but users sometimes face delays and inconsistencies, especially for advanced queries.
Sentiment score
7.8
Erwin Data Intelligence's customer service is praised for expertise and responsiveness, though some users suggest faster response times.
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
Senior Data Scientist at a consultancy with 10,001+ employees
This rating reflects my ability to effectively utilize the tool and get support for licensing issues, installation errors, or corrupted repositories end-to-end.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Quest is committed to keeping the product robust.
Data Architect at a energy/utilities company with 10,001+ employees
Quest technical support is very good, as they provide not only a technical help desk but also a data automation team that creates and customizes smart connectors, offering a wealth of skilled support.
Senior Consultant at a computer software company with 11-50 employees
For technical support, they need to improve response time.
Data Unit Manger at a manufacturing company with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
7.0
erwin Data Modeler efficiently handles large data models and concurrent users, adaptable to evolving data needs with scalable performance.
Sentiment score
6.8
Erwin Data Intelligence is scalable and efficient but faces occasional cloud connectivity issues with large datasets.
I would rate it probably a nine, making it a leader in data modeling.
Data Architect at a energy/utilities company with 10,001+ employees
erwin Data Modeler had a very good standardization infrastructure and supported a controlled multi-user environment with check-ins and check-outs.
Data Metrics Engineer at a financial services firm with 10,001+ employees
Performance can degrade during larger collaborations and requires tuning for optimal performance.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Regarding scalability, I would rate erwin Data Intelligence as an eight or nine for its ability to expand.
Senior Consultant at a computer software company with 11-50 employees
When we tried to connect erwin Data Intelligence to ERP on Oracle Cloud, specifically Oracle Fusion, we encountered many problems.
Data Unit Manger at a manufacturing company with 1,001-5,000 employees
 

Stability Issues

Sentiment score
6.7
Erwin Data Modeler is stable but struggles with large models, needing better auto-save and resource management.
Sentiment score
8.1
erwin Data Intelligence is stable and integrates well, though large enterprises may face metadata challenges and initial setup issues.
This lack of an auto-save methodology can be improved so that if a system crash occurs, work can be saved and rework can be avoided.
Data Modeler at Capgemini
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
Data Architect at a energy/utilities company with 10,001+ employees
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
Senior Data Scientist at a consultancy with 10,001+ employees
It is good for small and medium enterprises, but larger enterprises with huge amounts of metadata might face some issues.
Data Unit Manger at a manufacturing company with 1,001-5,000 employees
From my perspective, I would rate the stability of erwin Data Intelligence as an eight or nine out of ten.
Senior Consultant at a computer software company with 11-50 employees
 

Room For Improvement

Erwin Data Modeler needs a modern interface, improved performance, better collaboration, and expanded data support for enhanced usability.
Erwin Data Intelligence needs automation, interface improvements, better data handling, and enhanced integration while reducing dependency on costly services.
The previous version of erwin Data Modeler used to crash unaccountably, but this one hasn't ever crashed on me, so it's been a lot more stable than the previous version that we had.
Data Warehouse Architect at a healthcare company with 10,001+ employees
There are many features, and I would expect good documentation detailing each feature, including when and how to use it, to be very useful because data modeling is not very popular in the data area and there aren't many educational videos regarding erwin Data Modeler.
Senior Data Scientist at a consultancy with 10,001+ employees
Erwin Data Modeler could improve in areas such as the interface, as there are features like copy and paste, creating duplicates, and the visualization elements and toolbars which feel quite old.
Data Modeler at Capgemini
erwin Data Intelligence could improve particularly in the UI, as they are using old technologies that are not modern and do not serve the current requirements of the modern market.
Data Unit Manger at a manufacturing company with 1,001-5,000 employees
The dashboard in erwin Data Intelligence is customizable, and you can easily create different views.
Senior Consultant at a computer software company with 11-50 employees
 

Setup Cost

Erwin Data Modeler's high cost is offset by concurrent licensing's flexibility, benefiting large teams but challenging for smaller users.
Enterprise users encounter varied pricing with erwin Data Intelligence, often finding it reasonable and competitive for large organizations.
For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
The experience with pricing, setup cost, and licensing is that the licensing process is painful and quite onerous.
Contract Data Architect at a financial services firm with 10,001+ employees
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
Data Modeler at Capgemini
 

Valuable Features

Erwin Data Modeler simplifies database integration using visual diagrams, automates processes, and supports modern technologies and collaboration tools.
Erwin Data Intelligence unifies data sources, enhances governance, automates processes, and improves collaboration and decision-making through smart integration tools.
One of the key aspects of data governance is defining the data dictionary and clearly identifying which data is accessible by whom and what is not accessible, particularly regarding PII-related data.
SPM at Infosys
The way the data is organized and you have a visual of that organization helps a great deal in terms of trying to remember what you did and trying to retrieve the information.
Data Metrics Engineer at a financial services firm with 10,001+ employees
Migrating DDLs using erwin Data Modeler is easy because I just connect to the database and generate the data model from what is already implemented, making the process straightforward.
Data Modeler at FNB Mozambique
This feature is probably the most valuable because it allows for automated reverse engineering of lineage.
Senior Consultant at a computer software company with 11-50 employees
The mind maps clarify for the business the related business terms and the relation between the business terms and other technical terms and technical data products, and they are very effective.
Data Unit Manger at a manufacturing company with 1,001-5,000 employees
 

Categories and Ranking

erwin Data Modeler
Ranking in Data Governance
10th
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
51
Ranking in other categories
Enterprise Architecture Management (1st), Business Process Design (7th)
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 erwin Data Modeler is 0.5%. 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 (%)
erwin Data Modeler0.5%
Quest Data Intelligence2.5%
Other97.0%
Data Governance
 

Featured Reviews

Sushree Panigrahi - PeerSpot reviewer
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Data modeling has transformed regulatory reporting and collaboration across cloud environments
In erwin Data Modeler, areas that have room for improvement include performance improvements. I see that large models sometimes cause it to be slow when opening. Impact analysis can lag as well. Version control is another aspect. If we have developed a current version, it is not integrated with Git where we can easily compare different versions. UI modernization is also something we cannot utilize as it is primarily for development. Additionally, cloud-specific optimizations are needed when it comes to Snowflake or Databricks. When it comes to AI aspects, auto-suggestions for normalization or identifying primary, foreign, or surrogate keys are areas that can be improved.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Marketing Services Firm
7%
Manufacturing Company
6%
Government
6%
Financial Services Firm
14%
Government
10%
Construction Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise3
Large Enterprise42
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
I have no idea about the setup cost because I did not buy the license.
What needs improvement with erwin Data Modeler by Quest?
The UI in erwin Data Modeler can be improved significantly because when any new person opens the tool, all the toolbars are kept open with many tools in view, making it appear chunky. If possible, ...
What is your primary use case for erwin Data Modeler by Quest?
I primarly use erwin Data Modeler for modeling purposes. Once we have the business requirement, we create the models in erwin Data Modeler, and then we perform forward engineering to get the query ...
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

erwin DM
erwin DG, erwin Data Governance, erwin Data Catalog
 

Overview

 

Sample Customers

 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about Quest Data Intelligence vs. erwin Data Modeler and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.