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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
8.2
Reviews Sentiment
5.8
Number of Reviews
68
Ranking in other categories
Business Process Design (4th), Data Governance (11th)
 

Mindshare comparison

As of November 2026, in the Enterprise Architecture Management category, the mindshare of AWS Well-Architected Tool is 1.4%, up from 1.3% compared to the previous year. The mindshare of erwin Data Modeler is 8.6%, up from 8.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Architecture Management Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler8.6%
AWS Well-Architected Tool1.4%
Other90.0%
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…
SR
Director, Analytics at a consultancy with 10,001+ employees
Structured data modeling has accelerated AI-driven customer insights and cloud migrations
One feature that I wish erwin Data Modeler could improve is how user experience becomes much more intuitive, particularly when navigating large models or reviewing changes over time. Easier model exploration, clear visibility into differences between versioning, and practical documentation for use cases could help users work more effectively. I would also welcome the capability to have integrations with other platforms where the blueprint can be exchanged seamlessly without having to do an export and an import process. This would also help in bringing in the AI capability, which can assist in better positioning erwin Data Modeler not just as a tool for designing and documenting data models, but also as part of the broader data architecture and development lifecycle. Regarding erwin Data Modeler's AI capabilities, there is an opportunity to enhance user experience from a governance standpoint, supporting tracking model changes, maintaining audit trails, and managing role-based access while enforcing consistent modeling standards across teams would be a value-added feature, particularly in a large-scale environment. It would also be beneficial to have better visibility into sensitive data attributes and their relationships to govern the requirements, including privacy and access controls. As organizations increasingly adopt AI development, integrating these governance and security considerations into the model and implementing workflows could also help teams work more effectively while maintaining appropriate oversights. Regarding erwin Data Modeler's AI capabilities, there is still room for improvement regarding accuracy and reliability of output as large language models need clear instructions. There is room for growth because business requirements keep changing, relationships keep changing, and the capability to identify inconsistencies, missing relationships, or incorrect definitions are areas where it can improve. This is not to say that the current features are not good enough; they are excellent, but there is definitely room to catch up on AI changes. This is particularly important when modeling using blueprints inputted via AI assistant programs, and when an error occurs in the original model, it could carry over into a generated implementation. That is one of the experiences I faced when working on a project for the Adobe Experience Platform. I experience some integration failures often with erwin Data Modeler, but there is documentation that we can look up that helps resolve these bugs. The new integration changes on our end sometimes pose a challenge, but the process is generally seamless, and the support available makes it much easier for us to troubleshoot any challenges we might face. Managing data across different environments, such as traditional databases, NoSQL, big data, and cloud platforms with erwin Data Modeler presents the biggest challenge of translating from a traditional database to a non-SQL database. These challenges are primarily based on the structure of the data model. Overall, there are external tools that help us in translating that, and I would love to add this as a feature to simplify the process and reduce the complexity of using external extensions for making those changes or guiding through the process.

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 most valuable features are being able to visualize the data in the diagrams and transform those diagrams into physical database deployments. These features help, specifically, to integrate the data. When the source data is accumulated and modeled, the target model is in erwin and it helps resolve the data integration patterns that are required to map the data to accommodate a model."
"Forward engineering, DDL generation, reverse engineering, and reporting are the most valuable features of the solution."
"The product lets us import different types of models from various databases."
"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."
"Without erwin Data Modeler, it would be hard to define the DDL in tables."
"The accuracy and speed of the solution in transforming complex designs into well-aligned data sources make the cost of the tool worth it."
"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."
"The principal feature that I liked is that the solution has a very graphic interface."
 

Cons

"They could provide a simplified process for building and deploying solutions in the cloud."
"I believe erwin Data Modeler could be improved in a few areas, particularly performance, especially when dealing with large models that contain thousands of tables, as opening those models and running impact analysis can become slow."
"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 Bulk Editor needs improvement."
"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 or affected in the development process of the new version, leading to issues until that is released."
"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."
"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."
"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."
"The interface must be improved."
 

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."
"Pricing is very high compared to any other product."
"The pricing of the solution is cheap. I rate the pricing a five out of ten."
"I wish it wasn't so expensive. I would love to personally buy a copy of my own and have it at home, because the next job that I'm looking at is probably project management and I might not have access to the tool. I would like to keep my ability to use the tool. Therefore, they should probably have a pricing for people like me who want to just use the solution as an independent consultant, trying to get started. $3,000 is a big hit."
"Likewise, the solution is a little pricey."
"The tool is expensive."
"There are no costs in addition to the standard licensing fees."
"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."
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Top Industries

By visitors reading reviews
No data available
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 Enterprise61
 

Questions from the Community

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What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
My experience with erwin Data Modeler's pricing and setup costs shows it to be on the expensive side; the licensing fees reflect this higher cost, which results in fewer users adopting the tool.
What needs improvement with erwin Data Modeler by Quest?
The UI of erwin Data Modeler could be improved. It could be cleaner, as the current setup sometimes confuses users searching for specific features. Streamlining options and removing unnecessary ele...
What is your primary use case for erwin Data Modeler by Quest?
My main use case for erwin Data Modeler involves designing a logical and conceptual model, and physicalized model. I typically use it for creating tables, establishing relationships between tables,...
 

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: October 2026.
920,929 professionals have used our research since 2012.