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MEGA HOPEX vs erwin Data Modeler comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 19, 2025

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
3.7
erwin Data Modeler enhances efficiency, accuracy, and satisfaction by saving time and improving documentation, governance, and database compatibility.
Sentiment score
5.7
MEGA HOPEX improves ROI by centralizing documentation, enhancing efficiency, and simplifying tasks and licensing compared to other EA tools.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
 

Customer Service

Sentiment score
7.8
Erwin Data Modeler's support is generally helpful and knowledgeable, but response speed and technical support for specific queries need improvement.
Sentiment score
7.3
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.
Erwin Data Modeler requirements function at a standard level.
Quest is committed to keeping the product robust.
 

Scalability Issues

Sentiment score
7.4
Erwin Data Modeler excels in scalability, efficiently managing diverse databases and technologies while addressing large dataset challenges.
Sentiment score
7.3
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.
Regarding scalability, erwin Data Modeler is performing well; from a few tables to 100 tables, it is working effectively so far.
Scalability in erwin Data Modeler is good as it connects with multiple databases to pull existing table structures.
 

Stability Issues

Sentiment score
5.4
erwin Data Modeler is stable and robust but faces occasional crashes; updates improve performance yet may introduce glitches.
Sentiment score
7.3
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.
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
 

Room For Improvement

Erwin Data Modeler needs improved big data support, user interface, cloud compatibility, automation, integration, licensing, and documentation.
MEGA HOPEX faces stability, usability, and integration issues, lacking intuitive interface, comprehensive support, and efficient customization capabilities.
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.
The user interface resembles a 1998 Windows structure, so that can be enhanced.
MegaHOPEX lacks comprehensive features that a governance tool should have, particularly in data governance.
 

Setup Cost

Erwin Data Modeler is comprehensive and robust but expensive with complex licensing, challenging affordability in lower-income regions.
MEGA HOPEX is considered expensive, with yearly licensing and consulting costs, posing challenges for smaller organizations and enterprise users.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
 

Valuable Features

Erwin Data Modeler excels in visual database representation, collaboration, reverse engineering, and supports cloud integrations and complex data environments.
MEGA HOPEX offers IT portfolio management, process mapping, compliance, and data integration, enhancing collaboration, governance, and workflow efficiency.
My favorite feature of erwin Data Modeler is that we can export and import tables directly from the databases.
Transitioning from a logical to a physical environment with just a switch is key.
Currently in the market, there is no competitor to erwin Data Modeler; everything is very powerful, such as performing reverse engineering from an existing database and deploying that on Databricks or Snowflake.
 

Categories and Ranking

erwin Data Modeler
Ranking in Enterprise Architecture Management
3rd
Ranking in Business Process Design
9th
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
41
Ranking in other categories
Data Governance (13th)
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
41
Ranking in other categories
GRC (5th)
 

Mindshare comparison

As of November 2025, in the Enterprise Architecture Management category, the mindshare of erwin Data Modeler is 8.3%, down from 10.9% compared to the previous year. The mindshare of MEGA HOPEX is 5.9%, down from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Architecture Management Market Share Distribution
ProductMarket Share (%)
erwin Data Modeler8.3%
MEGA HOPEX5.9%
Other85.8%
Enterprise Architecture Management
 

Featured Reviews

Khadarvalli Phatan - PeerSpot reviewer
Helps map data relationships and document business logic through exportable visual diagrams
I would rate the visualization feature in erwin Data Modeler a six out of ten because the visualization is somewhat poor and some of the features are not user-friendly. You need to spend more time to make it a framework. There are areas where erwin Data Modeler can improve, such as scrolling and zooming in and out to see any particular columns. The visualization is average to above average, but not great. 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. The user interface resembles a 1998 Windows structure, so that can be enhanced.
Adnan Yusuf - PeerSpot reviewer
Useful for application portfolio management but improvement is needed for dashboards
I find the process modeling and value chain features valuable. The application portfolio management functionality and workflow management capabilities are also nice. It provides a holistic view for stakeholders and helps align IT with business strategies. It facilitates collaboration across the organization and covers all domains, including business, applications, technology, and data.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Government
8%
Computer Software Company
7%
Financial Services Firm
20%
Computer Software Company
10%
Government
9%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise3
Large Enterprise30
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise5
Large Enterprise24
 

Questions from the Community

What do you like most about erwin Data Modeler by Quest?
Forward engineering, DDL generation, reverse engineering, and reporting are the most valuable features of the solution.
What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
I do not recall the pricing from about a year and a half ago, but it seems reasonable.
What needs improvement with erwin Data Modeler by Quest?
erwin Data Modeler could improve its UI as it still feels old school and not very modern. There are many features, and I would expect good documentation detailing each feature, including when and h...
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: November 2025.
872,922 professionals have used our research since 2012.