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Ardoq vs erwin Data Modeler comparison

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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
5.8
Number of Reviews
64
Ranking in other categories
Business Process Design (4th), Data Governance (10th)
 

Mindshare comparison

As of October 2026, in the Enterprise Architecture Management category, the mindshare of Ardoq is 2.8%, down from 3.3% compared to the previous year. The mindshare of erwin Data Modeler is 8.7%, down from 8.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Architecture Management Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler8.7%
Ardoq2.8%
Other88.5%
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."
"The value of understanding your data in a graphical way has been very rich in communicating to developers and testers when they recognize the relationships and the business rules."
"Having erwin Data Modeler, we stored data modeling in a particular erwin Data Modeler mart, and people from other teams who want to understand the data benefit from collaborative efforts, which increases productivity and enhances understanding of data."
"Being able to point it to a database and then pull the metadata is a valuable feature. Another valuable feature is being able to rearrange the model so that we can display it to users. We are able to divide the information into subject areas, and we can divide the data landscape into smaller chunks, which makes it easier to understand. If you had 14 subject areas, 1,000 entities, and 6,000 columns, you can't quite understand it all at once. So, being able to have the same underlying model but only display portions of it at a time is extremely useful."
"erwin has versioning so you can keep versions, over time, of those models and you can compare any version to any version. If you're looking at a specific database and you want to see what changed over time, that's really useful. You can go back to a different version or connect that to your change-control processes so you can see what was released when."
"Sometimes you have an initial idea for a data model and when you try to design it in Erwin you realize that you were wrong in how you approached it."
"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 most valuable feature is the physical or visual representation of the database, showing the tables, the columns, the foreign keys, and the ability to generate DDL, so you can physically implement databases."
"The product itself is fantastic and it's about the only way to get an enterprise view of the data that you're designing."
 

Cons

"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."
"The training environment wasn't very intuitive, but maybe with more use, it will get better."
"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 to see more support for working with the big-data world. There are so many new databases evolving and it's very hard for them to keep up with all of the new technologies. It would be good if they were able to dynamically support big-data platforms, other than Hive and Teradata."
"Regarding improvements, I have noticed some slowness in erwin Data Modeler, and if it could be made faster, that would be great."
"I find the UI very clunky and very difficult to use."
"I am not so happy with its speed. Sometimes, it can have problems with connections."
"The solution only works with one server and one database, so I don't think it's scalable enough."
"It is not a very stable solution. I rate the stability five out of ten."
"The navigation is a little bit of a challenge. It's painful. For example, if you've got a view open and you want to try to move from side to side, the standard today is being able to drag and drop left and right. You can't really do that in the model. Moving around the model is painful because it doesn't follow the Windows model today."
 

Pricing and Cost Advice

"We pay for extended support."
"There are no costs in addition to the standard licensing fees."
"erwin is expensive compared to other solutions. We are paying almost $6,000 per seat a month."
"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 solution is expensive."
"Pricing is very high compared to any other product."
"The tool is expensive."
"There are two license options and the pricing is reasonable."
"erwin Data Modeler by Quest is an expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
12%
Insurance Company
8%
Government
8%
Financial Services Firm
14%
Outsourcing Company
9%
Manufacturing Company
8%
Marketing Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business19
Midsize Enterprise4
Large Enterprise60
 

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?
The experience with pricing, setup cost, and licensing is that the licensing process is painful and quite onerous. The setup is okay, but there is room for improvement.
What needs improvement with erwin Data Modeler by Quest?
Regarding improvements, the first thing I would mention is that every release has some issues, some of which are related to current functionalities, which means they often seem not very well tested...
What is your primary use case for erwin Data Modeler by Quest?
My main use case for erwin Data Modeler is to implement a single data architecture design department so everyone is using erwin Data Modeler for their data models to be a transactional application ...
 

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: September 2026.
917,433 professionals have used our research since 2012.