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AWS Well-Architected Tool vs erwin Data Modeler comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 23, 2025

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

AWS Well-Architected Tool
Ranking in Enterprise Architecture Management
19th
Average Rating
8.0
Reviews Sentiment
8.9
Number of Reviews
1
Ranking in other categories
No ranking in other categories
erwin Data Modeler
Ranking in Enterprise Architecture Management
2nd
Average Rating
8.6
Reviews Sentiment
5.9
Number of Reviews
46
Ranking in other categories
Business Process Design (8th), Data Governance (15th)
 

Mindshare comparison

As of January 2026, in the Enterprise Architecture Management category, the mindshare of AWS Well-Architected Tool is 1.5%, up from 1.1% compared to the previous year. The mindshare of erwin Data Modeler is 8.3%, down from 11.1% 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%
AWS Well-Architected Tool1.5%
Other90.2%
Enterprise Architecture Management
 

Featured Reviews

Dayanand-Ksheemakaari - PeerSpot reviewer
Senior Solution Architecht at GlobalLogic
Has an efficient adaptability feature and helps us set up a high-performing architecture.
We use the product for building enterprise applications with the help of microservice technology The tool helps us establish a baseline for the architecture. Our organization can follow all guidelines and adhere to the industry standards to set up a high-performing architecture. The product's…
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

"The product's most valuable feature is adaptability."
"The product lets us import different types of models from various databases."
"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."
"They have a lot of features and the most up-to-date technology integration, which I haven't seen in other products."
"The solution is excellent in providing a visual representation of a database and can generate DDL for implementing changes. We use DDL for logical purposes to review with business people, ensuring they have the required fields for processing. We also use it as a data dictionary for the physical data model to understand all the purposes of the terms. This helps us map the logical and physical terms with the business definition to understand our data."
"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."
"One of the best aspects of the tool is its reverse engineering capability."
"The ability to collaborate between different members across the organization is the most valuable feature. It gives us the ability to work on the same model, regardless of where we are physically."
"The product allows us to reuse entities and attributes."
 

Cons

"They could provide a simplified process for building and deploying solutions in the cloud."
"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."
"The interface must be improved."
"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."
"It is not a very stable solution. I rate the stability five out of ten."
"The erwin Data Modeler is quite complex to use."
"One of the best aspects of the tool is its reverse engineering capability."
"The solution's model mark could be better because it crashes sometimes."
"I love the product. I love the ability to get into the code, make it automated, and make it do what I want. I would like to see them put some kind of governance over the ability to make changes to the mart tables with the API, so that instead of just using the modeler's rights to a table -- it has a separate set of rights for API access. That would give us the ability to put governance around API applications. Right now a person with erwin and Excel/VBA has the ability to make changes to models with the API if they also have rights to make changes to the model from erwin. It's a risk."
 

Pricing and Cost Advice

"The platform’s pricing depends on the specific project requirements."
"This company had bought the license for three years, and it's not an individual license. While you can buy a license for each individual, that would be very expensive. There is something called concurrent licenses where you can purchase licenses in bulk and 15 to 20 people can access the license and model. Concurrent licenses are scalable to the number of users and are proportional to the cost."
"We've continued to use the product for many years and compared it with others on the market. The pricing is reasonable considering what the solution offers and what we pay. There are cheaper tools, but they may not be as robust and easy to use, so it's worth the money."
"There are no costs in addition to the standard licensing fees."
"Pricing is very high compared to any other product."
"erwin is expensive compared to other solutions. We are paying almost $6,000 per seat a month."
"erwin Data Modeler by Quest is an expensive solution."
"An issue right now would be that erwin doesn't have a freely available browser (that I am aware of) for people who are not data modelers or data engineers that a consumer could use to look at the data models and play with it. This would not be to make any changes, but just to visually look at what exists. There are other products out there which do have end user browsers available and allow them to access data models via the data modeling tool."
"There are two license options and the pricing is reasonable."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Government
16%
Comms Service Provider
14%
Transportation Company
10%
Financial Services Firm
18%
Government
8%
Manufacturing Company
8%
Performing Arts
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise3
Large Enterprise34
 

Questions from the Community

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What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
Regarding pricing, I am unsure what the exact price is for erwin Data Modeler, but I believe it is not useful for an individual. It is more targeted toward an enterprise level since organizations l...
What needs improvement with erwin Data Modeler by Quest?
I write code and I write code accessing erwin Data Modeler's API, the Application Programming Interface, so that I can use Excel to update erwin Data Modeler and then get those updates and put them...
What is your primary use case for erwin Data Modeler by Quest?
I work for CVS with a pretty big database as a data modeler on the PBMs, the Caremark PBM side, which is the Pharmacy Benefits Manager. There's a retail side too for all the stores, but our data wa...
 

Also Known As

AWS Well Architected Tool
erwin DM
 

Overview

 

Sample Customers

CyberAgent, Inc., nClouds
 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Find out what your peers are saying about SAP LeanIX, Quest Software, MEGA International and others in Enterprise Architecture Management. Updated: January 2026.
881,082 professionals have used our research since 2012.