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Ardoq 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:
 

Categories and Ranking

Ardoq
Ranking in Enterprise Architecture Management
15th
Average Rating
7.6
Reviews Sentiment
5.7
Number of Reviews
2
Ranking in other categories
No ranking in other categories
erwin Data Modeler
Ranking in Enterprise Architecture Management
1st
Average Rating
8.4
Reviews Sentiment
5.7
Number of Reviews
50
Ranking in other categories
Business Process Design (5th), Data Governance (10th)
 

Mindshare comparison

As of May 2026, in the Enterprise Architecture Management category, the mindshare of Ardoq is 3.2%, down from 3.2% compared to the previous year. The mindshare of erwin Data Modeler is 7.2%, down from 10.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Architecture Management Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler7.2%
Ardoq3.2%
Other89.6%
Enterprise Architecture Management
 

Featured Reviews

Anthony Houghton - PeerSpot reviewer
Data Architect at UK Research and Innovatio
Provides stable performance and scalability but not intuitive for data modeling
Overall, I would rate it around six out of ten. The training environment wasn't very intuitive, but maybe with more use, it will get better. We need to learn to navigate it. So, there is a potential learning curve in this tool. I use it once in a blue moon, and not very frequently because I have not found it very intuitive.
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.

Quotes from Members

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

Pros

"Snapshots are the most valuable feature."
"It is a stable solution."
"erwin Data Modeler's ability to generate database code from a model for a wide array of data sources saves time in development, as utilizing the solution allows me to accomplish tasks in minutes compared to the extended time required for manual processes."
"The solution's ability to compare and synchronize data sources with data models is fantastic."
"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 reduces monthly savings by hundreds of thousands of dollars."
"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."
"It provides flexibility with the code. You can change the code as you want. Basically, you can change SQL based on what's best for your project."
"The product allows us to reuse entities and attributes."
"The logical model gives developers, as well as the data modelers, an understanding of exactly how each object interacts with the others, whether a one-to-many, many-to-many, many-to-one, etc."
 

Cons

"The training environment wasn't very intuitive, but maybe with more use, it will get better."
"Scalability as a standalone system is good, given the information that has been described inside Ardoq. But not the scalability as a third-party system or with integration with other systems. Because in this direction, the scalability is about zero for Ardoq."
"One of the things I've been talking to the erwin team about through the years is that every data model should have the ability to be multi-language... When I was working at Honda, it became very difficult to work with the Japanese teams using just one model. You can have two models, one in English and one in Japanese, but that means you have to keep the updates back and forth, and that always increases the risk of something not being updated."
"One of the best aspects of the tool is its reverse engineering capability."
"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."
"As someone who has used it for a long time, I have seen stability vary from version to version."
"I would like to see the reporting capabilities be more dynamic and more inclusive of information. The API is very sparsely understood by people across the user community."
"While I do not have knowledge about pricing for erwin Data Modeler, I think it could improve by having a feature that allows the publishing of models, similar to how Power BI allows for dashboard publishing for different users within an organization, not just data modelers."
"I would like the solution to be more user-friendly to deploy."
"I would like to see improved reporting and, potentially, dashboards built on top of that."
 

Pricing and Cost Advice

"We pay for extended support."
"Price-wise, erwin Data Modeler is okay. You can purchase a single license and it is not very expensive."
"erwin Data Modeler by Quest is an expensive solution."
"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."
"There are no costs in addition to the standard licensing fees."
"The price of erwin Data Modeler is very expensive, in particular for this part of the world."
"The tool is expensive."
"Pricing is very high compared to any other product."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
Government
9%
University
8%
Financial Services Firm
15%
Manufacturing Company
8%
Government
7%
Performing Arts
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise3
Large Enterprise38
 

Questions from the Community

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...
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 ...
 

Also Known As

No data available
erwin DM
 

Overview

 

Sample Customers

Schibsted, Government of Malmo, Torvald
 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Find out what your peers are saying about Ardoq vs. erwin Data Modeler and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.