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AWS Well-Architected Tool 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

AWS Well-Architected Tool
Ranking in Enterprise Architecture Management
24th
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
6.0
Number of Reviews
54
Ranking in other categories
Business Process Design (7th), Data Governance (10th)
 

Mindshare comparison

As of September 2026, in the Enterprise Architecture Management category, the mindshare of AWS Well-Architected Tool is 1.4%, up from 1.2% compared to the previous year. The mindshare of erwin Data Modeler is 8.4%, down from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Architecture Management Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler8.4%
AWS Well-Architected Tool1.4%
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."
"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."
"Having well-documented and consistent schemas makes it easier to identify, understand, and prepare reliable data for analytics and new AI use cases, ensuring my data is AI-ready and reliable."
"This product is the strongest data modeler on the market."
"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."
"The modeling product itself is far and above anything else that I've seen on the market."
"If you want to have good data architecture, you need to have database design done."
"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 allows us to create logical data models. We can represent a database model in business terms, which is very useful for us."
 

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."
"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."
"The Bulk Editor needs improvement. If you had something that was a local model to your local machine, you could connect to the API, then it would write directly into the repository. However, when you have something that is on the centralized server, that functionality did not work. Then, you had to export out to a CSV and upload up to the repository. It would have been nice to be able to do the direct API without having that whole download and upload thing. Maybe I didn't figure it out, but I'm pretty sure that didn't work when it was a model that sat on a centralized repository."
"It does not have a cloud application."
"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."
"The solution's reporting side needs to be improved."
"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."
"The only real complaint I have is the time it takes to do a database comparison on a large model. If they could speed that up, that would be the only thing I can think of that needs improvement."
 

Pricing and Cost Advice

"The platform’s pricing depends on the specific project requirements."
"The tool is expensive."
"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."
"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 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."
"erwin Data Modeler by Quest is an expensive solution."
"erwin is expensive compared to other solutions. We are paying almost $6,000 per seat a month."
"There are no costs in addition to the standard licensing fees."
"Likewise, the solution is a little pricey."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Outsourcing Company
9%
Marketing Services Firm
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise4
Large Enterprise44
 

Questions from the Community

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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

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, SAP LeanIX and others in Enterprise Architecture Management. Updated: September 2026.
913,924 professionals have used our research since 2012.