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OvalEdge vs erwin Data Modeler comparison

 

Comparison Buyer's Guide

Executive Summary

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 Modeler
Ranking in Data Governance
14th
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
40
Ranking in other categories
Enterprise Architecture Management (3rd), Business Process Design (9th)
OvalEdge
Ranking in Data Governance
21st
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of erwin Data Modeler is 0.0%. The mindshare of OvalEdge is 0.5%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
erwin Data Modeler0.0%
OvalEdge0.5%
Other99.5%
Data Governance
 

Featured Reviews

JorgeSanz - PeerSpot reviewer
Streamline data modeling and automate network changes for increased efficiency
The initial setup depends on the tool if you are using the data model environment. Stopping the server could be complex and require strong expertise. If you have everything set up and configured, Erwin is straightforward. You can deploy it in a few hours. In our case, it took a couple of months to address internal conditions, assign machines, and set up everything for the services. I rate the initial setup a six out of ten, where one is difficult and ten is easy.
AzhagarasanAnnadorai - PeerSpot reviewer
Enables comprehensive data governance with role-based access and directory integration
The UI is straightforward for technical users with organized features under different modules like data catalog and business glossary. The role-based access control and integration with the directory system allow strict governance and limited user access. The APIs are comprehensive, enabling integration with other systems even for creating virtual data catalogs.

Quotes from Members

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

Pros

"We use the macros with naming standards patterns, domains, datatypes, and some common attributes. As far as other automations, a feature of the Bulk Editor is mass updates. When it sees something is nonstandard or inaccurate, it will export the better data out. Then, I can easily see which entities and attributes are not inline or standard. I can easily make changes to what was uploaded to the Bulk Editor. When taking on a new project, it can save you about a half a day on a big project across an entire team."
"The most valuable features are the ability to reverse engineer and do model comparison. With the reverse engineering, I can understand the databases from third-party products. With the model comparison, I can track the differences between two versions of the same database."
"The solution's ability to compare and synchronize data sources with data models is fantastic. We use it for that on a regular basis to make sure that changes haven't been made to the database outside of the modeling process. I can take existing databases and reverse engineer them and understand their structure within 15 minutes. If I didn't have Data Modeler it would take hours. It increases our productivity and helps in understanding our legacy application."
"It supports a wide variety of databases, including the latest ones. We have chosen to go for a cloud-based database, and it supports that, which is very useful."
"The solution is good for organizing the data and the scripting part is very powerful. It's easy to create technical scripts for models."
"The product lets us import different types of models from various databases."
"It reduces monthly savings by hundreds of thousands of dollars. Think about a company like Costco and all of the points of sale systems in Costco, all of the systems, the applications, but if all the applications in Costco all had their own data model, trying to integrate those, upgrade them and manage their different versions of the same model throughout the store, is an absolute nightmare. It's phenomenally expensive. This helps reduce that cost significantly. I'm talking on the orders of hundreds of thousands of dollars."
"One of the best aspects of the tool is its reverse engineering capability."
"Over time, OvalEdge has improved significantly."
"The UI is straightforward for technical users with organized features under different modules like data catalog and business glossary."
 

Cons

"The interface must be improved."
"We can only get licenses through partners."
"I find the UI very clunky and very difficult to use. If I add columns to a table the whole workflow could be so much easier. I get frustrated using it. I've tried other tools. I've tried to get off of erwin a few times. I always come back to it because every tool has its own set of problems, and it seems like if I have to pick my poison, I stay with erwin. But so many things that are clunky with it."
"The report generation has room for improvement. I think it was version 8 where you had to use Crystal Reports, and it was so painful that the company I was with just stayed on version 7 until version 9 came out and they restored the data browser. That's better than it was, but it's still a little cumbersome. For example, you run it in erwin, then export it out to Excel, and then you have to do a lot of cosmetic modification. If you discover that you missed a column, then you would have to rerun the whole thing. Sometimes what you would do is just go ahead and fix it in the report, then you have to remember to go back and fix it in the model. Therefore, I think the report generation still could use some work."
"The erwin Data Modeler is quite complex to use."
"In terms of improvements, support could have been better in terms of installation, especially of workgroups. We struggled quite a bit to get it up and running. Collaboration could have been better from an installation perspective, but it is trivial as compared to what we use it for. Other than that, I don't have much feedback. It works pretty well, and the fact that we've been using it for more than a decade shows that it is quite solid."
"The modeling product itself is far and above anything else that I've seen on the market. There are certain inconsistencies when it comes to keeping up with other platforms' databases in the reverse-engineering process. It should also support more database platforms."
"Some Source official systems give us DDLs to work with and they have contents not required to be part of the DDL before we reverse engineer in the erwin DM. Therefore, we manually make changes to those scripts and edit them, then reverse-engineer within the tool. So, it does take some time to edit these DDL scripts generated by the source operational systems. What I would suggest: It would be helpful if there were a place within the erwin tool to import the file and automatically eliminate all the unnecessary lines of code, and just have the clean code built-in to generate the table/data model."
"The lack of connectivity to mainframe systems and the complexity of integration are areas needing improvement."
"The lack of connectivity to mainframe systems and the complexity of integration are areas needing improvement."
 

Pricing and Cost Advice

"The pricing of the solution is cheap. I rate the pricing a five out of ten."
"erwin is expensive compared to other solutions. We are paying almost $6,000 per seat a month."
"Though the solution is not cheap, it's worth the money."
"There is either a one-year or three-year license. It is not a pay-as-you-go license like a SaaS solution. It’s more of a traditional licensing. They are a little bit on the pricier side."
"The tool is expensive."
"erwin Data Modeler by Quest is an expensive solution."
"The price should be lower in order to be on the same level as its competitors."
"There are two license options and the pricing is reasonable."
Information not available
report
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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
11%
Computer Software Company
9%
Healthcare Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise3
Large Enterprise29
No data available
 

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...
What is your experience regarding pricing and costs for OvalEdge?
The pricing is affordable compared to other tools, and we opted for 500 user license.
What needs improvement with OvalEdge?
The lack of connectivity to mainframe systems and the complexity of integration with legacy data systems are areas needing improvement. Advanced jobs require extra training and fine-tuning, making ...
What is your primary use case for OvalEdge?
GDPR compliance and enabling users to understand the transformation of data from one database to another. It is used mainly as a data catalog for data discovery, allowing users to understand the da...
 

Also Known As

erwin DM
No data available
 

Overview

 

Sample Customers

 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Beaumont CHKD, UpWork, Pon, Rakuten, Verbund, Globe, Naranja
Find out what your peers are saying about OvalEdge vs. erwin Data Modeler and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.