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MEGA HOPEX vs erwin Data Modeler 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:
 

ROI

Sentiment score
4.4
Erwin Data Modeler boosts efficiency and productivity with automation, customization, and streamlined data processes for large projects.
Sentiment score
5.7
MEGA HOPEX improves ROI by centralizing documentation, enhancing efficiency, and simplifying tasks and licensing compared to other EA tools.
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
 

Customer Service

Sentiment score
6.2
Erwin Data Modeler's support is helpful but inconsistent, with regional variations and challenges in older database version assistance.
Sentiment score
7.1
MEGA HOPEX offers responsive customer service and reliable support, with paid options for complex issues and helpful community resources.
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
In our AMC, we need to contact them first for first-level support, and if they cannot respond or do not have a fix, they escalate it to HOPEX.
Administrator at a healthcare company with 51-200 employees
 

Scalability Issues

Sentiment score
6.6
erwin Data Modeler is scalable, adaptable to new technologies, supports large models, and integrates with cloud and on-premise systems.
Sentiment score
7.1
MEGA HOPEX is scalable and adaptable for organizations, but larger implementations require careful management to avoid performance issues.
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.
 

Stability Issues

Sentiment score
6.1
erwin Data Modeler is stable, improving in data governance, with strong performance, but needs auto-save for large models.
Sentiment score
7.2
MEGA HOPEX is generally stable, with stability varying based on customization levels, resolved issues, and external platform interactions.
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
 

Room For Improvement

Users seek improvements in big-data support, user interface, reporting, database integration, workflows, collaboration, performance, automation, and licensing.
MEGA HOPEX faces stability, usability, and integration issues, lacking intuitive interface, comprehensive support, and efficient customization capabilities.
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
MegaHOPEX lacks comprehensive features that a governance tool should have, particularly in data governance.
Data Governance Leader at Adres
Having something similar to ARIS would make it easier to build dashboards, providing a what-you-see-is-what-you-get experience, allowing me to drag and drop elements, configure them, and test queries.
Administrator at a healthcare company with 51-200 employees
 

Setup Cost

Erwin Data Modeler offers scalable licensing options with varying costs, influenced by region and potential bulk purchase discounts.
MEGA HOPEX is considered expensive, with yearly licensing and consulting costs, posing challenges for smaller organizations and enterprise users.
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.
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 enhances database management through visual representation, synchronization, governance, and collaboration across business and IT teams.
MEGA HOPEX offers IT portfolio management, process mapping, compliance, and data integration, enhancing collaboration, governance, and workflow efficiency.
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
MEGA HOPEX has extensive modeling capabilities and can be modeled in different ways.
Administrator at a healthcare company with 51-200 employees
 

Categories and Ranking

erwin Data Modeler
Ranking in Enterprise Architecture Management
1st
Ranking in Business Process Design
6th
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
48
Ranking in other categories
Data Governance (9th)
MEGA HOPEX
Ranking in Enterprise Architecture Management
5th
Ranking in Business Process Design
8th
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
42
Ranking in other categories
GRC (6th)
 

Mindshare comparison

As of March 2026, in the Enterprise Architecture Management category, the mindshare of erwin Data Modeler is 8.3%, down from 11.0% compared to the previous year. The mindshare of MEGA HOPEX is 6.3%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Architecture Management Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler8.3%
MEGA HOPEX6.3%
Other85.4%
Enterprise Architecture Management
 

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.
AB
Administrator at a healthcare company with 51-200 employees
Supports process modeling and customization but needs better reporting flexibility and UI improvements
As an administrator, I would improve MEGA HOPEX by adding a WYSIWYG feature for building reports, which would be very helpful. Additionally, I would want reporting customization from the front end web application, not only from the Windows app, which is the customizer. If all changes could be made in the web application, that would be beneficial because every time we need to request access to the server, it takes time in large organizations and involves multiple levels of approvals from cybersecurity and IT security, which can block the project. Regarding dashboards in MEGA HOPEX, they could definitely be better. Having something similar to ARIS would make it easier to build dashboards, providing a what-you-see-is-what-you-get experience, allowing me to drag and drop elements, configure them, and test queries. Moreover, RFQL language is not common, so in MEGA HOPEX, I need to learn RFQL querying. In terms of additional features for MEGA HOPEX, I would appreciate more features for workflows. There are limitations in customizing the email notifications sent during workflows. When creating a workflow, I can configure actions and customize the text, but not the header and footer. Therefore, all emails from the tool come with a MEGA HOPEX header. In large organizations like BPM COE, we want to have our own logo, header, and footer in those emails, but this is not configurable, which I find limiting. I would appreciate easier features to customize workflows and create workflows.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
8%
Government
7%
Performing Arts
5%
Financial Services Firm
19%
Government
8%
Computer Software Company
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise3
Large Enterprise35
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise5
Large Enterprise24
 

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?
As we all know, AI is taking up a majority of things. I felt that erwin Data Modeler is a bit of an outdated tool. It needs a new look and integrating AI into it would be much better for learning. ...
What is your primary use case for erwin Data Modeler by Quest?
For erwin Data Modeler, the use case was to create a data model for the organization. It articulates how data flows throughout the organization. For example, we have an employee table with two type...
Any experience with Strategic Project Portfolio Management Solutions?
Hi @Cheryl Joseph ​Looking at the crossover between Project and Portfolio management with EA, then Planview could be a good choice. If looking at Portfolio Management from an EA perspective then Le...
 

Also Known As

erwin DM
No data available
 

Overview

 

Sample Customers

 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Aetna, Fannie Mae, M&T Bank, Glatfelter Insurance Group, Zions Management Services Company, The College Board, Baxter Credit Union, AXA Financial, Missouri Department of Conservation, New York State OTDA, MEG Energy Corp, Walgreens, Procter & Gamble, Biogen Idec, Gilead Sciences, Organic Valley, Trinity Health, Nissan and Ford
Find out what your peers are saying about MEGA HOPEX vs. erwin Data Modeler and other solutions. Updated: March 2026.
884,797 professionals have used our research since 2012.