No more typing reviews! Try our Samantha, our new voice AI agent.

AWS Well-Architected Tool 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

AWS Well-Architected Tool
Ranking in Enterprise Architecture Management
22nd
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
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 June 2026, in the Enterprise Architecture Management category, the mindshare of AWS Well-Architected Tool is 1.5%, up from 0.9% compared to the previous year. The mindshare of erwin Data Modeler is 7.3%, down from 10.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Architecture Management Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler7.3%
AWS Well-Architected Tool1.5%
Other91.2%
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."
"It has made a lot of difference in terms of naming standards, processes around our metadata, and the schema in which we create a database."
"The product itself is fantastic and it's about the only way to get an enterprise view of the data that you're designing."
"One of the ways Data Modeler has benefited our company is that it gives us the ability to engage with the business alongside IT, because it's friendly."
"It saves a lot of development time, and I think we are saving from two weeks to one month annually."
"The visual data models for helping to overcome data source complexity and enabling understanding and collaboration around maintenance and usage are excellent. A picture speaks 1,000 words. Seeing a picture that shows you how the data relates to each other helps you better understand what the data is and how to use it. Pairing that information with a dictionary, which has the definitions of the tables and columns or the entities and attributes, ensures that the users understand what the data is so that they can use it best and most successfully."
"The best features of erwin Data Modeler include the forward engineering tool, which gives you the schema according to the data model that you generate."
"I have used most of the modeling tools available, but I found that erwin Data Modeler is the most suitable data modeling tool in our current industry."
"Overall, erwin DM's support for Snowflake is very good."
 

Cons

"They could provide a simplified process for building and deploying solutions in the cloud."
"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."
"In terms of new features, it would be great to have a cloud base. We should be able to put it on the cloud for better collaboration and data models sharing."
"I would rate the visualization feature in erwin Data Modeler a six out of ten because the visualization is somewhat poor and some of the features are not user-friendly."
"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 one drawback is if you have an extremely large complex model, the compare process can take quite a bit of time, more than four hours."
"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."
"It is not a very stable solution. I rate the stability five out of ten."
"I would like the solution to be less rigid in terms of its theory."
 

Pricing and Cost Advice

"The platform’s pricing depends on the specific project requirements."
"The price should be lower in order to be on the same level as its competitors."
"Likewise, the solution is a little pricey."
"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 pricing of the solution is cheap. I rate the pricing a five out of ten."
"The tool is expensive."
"The price of erwin Data Modeler is very expensive, in particular for this part of the world."
"erwin Data Modeler by Quest is an expensive solution."
report
Use our free recommendation engine to learn which Enterprise Architecture Management solutions are best for your needs.
900,747 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Manufacturing Company
8%
Marketing Services Firm
7%
Government
6%
 

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

Ask a question
Earn 20 points
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

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 Quest Software, SAP LeanIX, SAP and others in Enterprise Architecture Management. Updated: May 2026.
900,747 professionals have used our research since 2012.