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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
13th
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
5.9
Number of Reviews
48
Ranking in other categories
Business Process Design (6th), Data Governance (9th)
 

Mindshare comparison

As of March 2026, in the Enterprise Architecture Management category, the mindshare of Ardoq is 3.3%, down from 3.3% compared to the previous year. The mindshare of erwin Data Modeler is 8.3%, down from 11.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Architecture Management Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler8.3%
Ardoq3.3%
Other88.4%
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

"It is a stable solution."
"Snapshots are the most valuable feature."
"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."
"I compare erwin Data Modeler with other solutions such as ER/Studio and believe it stands out as an enterprise-grade data modeling tool capable of serving different industries, such as finance, healthcare, and telecom."
"The fitting model is very intuitive."
"Forward engineering, DDL generation, reverse engineering, and reporting are the most valuable features of the solution."
"There is absolutely no problem with the stability."
"One of the best aspects of the tool is its reverse engineering capability."
"It is a scalable solution...The technical support team is fine."
"The modeling portion of the tool is the most valuable. There are some notes, naming standards, and other functions that we use as well. There's a whole boatload of functionality in this thing and we use maybe 10% of it. It seems to be pretty common that not all the functionality is fully utilized. But it's just got gobs and gobs of stuff that you can implement if you so choose to."
 

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."
"There is a lack of local support in the China region."
"We are planning to move, in 2021, into their server version, where multiple data modelers can work at the same time and share their models. It has become a pain point to merge the models from individual desktops and get them into a single data model, when multiple data modelers are working on a particular project. It becomes a nightmare for the senior data modeler to bring them together, especially when it comes to recreating them when you want to merge them."
"Complete Compare is set up only to compare properties that are of interest to us, but some of the differences cannot be brought over from one version of the model to another. This is despite the fact that we are clicking to bring objects from one place to another. Therefore, it's hard to tell at times if Complete Compare is working as intended without having to manually go into the details and check everything. If it could be redesigned to a degree where it is easier to use when we bring things over from one site to another and be sure that it's been done correctly, that would be nice to have. We would probably use the tool more often if the Complete Compare were easier to use."
"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."
"The reverse engineering in Oracle Databases needs improvement, as there are issues."
"I would like to have more data sources from other, different vendors. In recent years, the vendor has reduced the number of data sources, and I would like to have more data sources for every brand. For example, with Oracle, I would like to have compatibility for many versions, including old ones, not just the most recent."
"erwin is not as robust as a data warehousing project I've been on in the past."
"It would be nice to have it on the Linux platform, not just Windows. If they can support Linux, there would be a huge market for it."
 

Pricing and Cost Advice

"We pay for extended support."
"The pricing of the solution is cheap. I rate the pricing a five out of ten."
"There are two license options and the pricing is reasonable."
"The price of erwin Data Modeler is very expensive, in particular for this part of the world."
"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."
"The primary reasons that erwin was selected were that it was much more affordable for us [than Embarcadero] and it was easily maintainable."
"The tool is expensive."
"It is not a very expensive solution. Only the licensing and maintenance fee needs to be paid."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Government
10%
Manufacturing Company
9%
University
9%
Financial Services Firm
16%
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 Enterprise35
 

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?
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...
 

Comparisons

 

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: March 2026.
884,873 professionals have used our research since 2012.