AWS Well-Architected Tool vs erwin Data Modeler by Quest comparison

Amazon Web Services (AWS) and Quest Software are both solutions in the Enterprise Architecture Management category. Amazon Web Services (AWS) is ranked #15 with an average rating of 8.0, while Quest Software is ranked #4 with an average rating of 8.3. Amazon Web Services (AWS) holds a 1.0% mindshare in AM, compared to Quest Software’s 10.0% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Quest Software users who would recommend it.

AWS Well-Architected Tool

Read 1 AWS Well-Architected Tool review

363 Views
363 Comparison Views

100% willing to recommend

erwin Data Modeler by Quest

Read 39 erwin Data Modeler by Quest reviews

5,179 Views
3,574 Comparison Views

95% willing to recommend

AWS Well-Architected Tool

erwin Data Modeler by Quest

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Executive Summary

We performed a comparison between AWS Well-Architected Tool and erwin Data Modeler by Quest based on real PeerSpot user reviews.

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To learn more, read our detailed Enterprise Architecture Management Report (Updated: August 2025).

Buyer's Guide

Enterprise Architecture Management

August 2025

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Helped 865,164 peers since 2012

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

15th

Average Rating

8.0

Reviews Sentiment

8.9

Number of Reviews

Ranking in other categories

No ranking in other categories

erwin Data Modeler by Quest

Ranking in Enterprise Architecture Management

4th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Business Process Design (10th)

Mindshare comparison

As of August 2025, in the Enterprise Architecture Management category, the mindshare of AWS Well-Architected Tool is 1.0%, down from 1.2% compared to the previous year. The mindshare of erwin Data Modeler by Quest is 10.0%, down from 10.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Enterprise Architecture Management

Featured Reviews

Dayanand-Ksheemakaari

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…

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JorgeSanz

Data Governance Senior Advisor at Abu Dhabi National Oil Company

Streamline data modeling and automate network changes for increased efficiency

The initial setup depends on the tool if you are using the data model environment. Stopping the server could be complex and require strong expertise. If you have everything set up and configured, Erwin is straightforward. You can deploy it in a few hours. In our case, it took a couple of months to address internal conditions, assign machines, and set up everything for the services. I rate the initial setup a six out of ten, where one is difficult and ten is easy.

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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."

"We can create mappings in erwin and possibly data dictionaries."

"One of the best aspects of the tool is its reverse engineering capability."

"The solution’s code generation ensures accurate engineering of data sources, as there is no development time. Code doesn't even have to be reviewed. We have been using this solution for so long and all the code which has been generated is accurate with the requirements. Once we generate the DDLs out of the erwin tools, the development team does a quick review of the script line by line. They will just be running the script on the database and looking into other requirements, such as the index. So, there is less effort from development side to create tables or build a database."

"Being able to point it to a database and then pull the metadata is a valuable feature. Another valuable feature is being able to rearrange the model so that we can display it to users. We are able to divide the information into subject areas, and we can divide the data landscape into smaller chunks, which makes it easier to understand. If you had 14 subject areas, 1,000 entities, and 6,000 columns, you can't quite understand it all at once. So, being able to have the same underlying model but only display portions of it at a time is extremely useful."

"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."

"I have worked with erwin Data Modeler for quite some time and familiarity is its most valuable feature."

"One of the best aspects of the tool is its reverse engineering capability."

"Quest can create conceptual and physical data models to facilitate effective communication between business and IT. It can also integrate expertise from various engineering and database systems within your organization to enhance data management and administration."

More erwin Data Modeler by Quest pros

Cons

"They could provide a simplified process for building and deploying solutions in the cloud."

"As someone who has used it for a long time, I have seen stability vary from version to version."

"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."

"I'd really like to see the PDF function become available. It would make my life much easier than what it is at the moment because whenever I need to collaborate with people that do not have erwin, I have to go through the wonkiness of going to Word and then save it from Word into PDF. There's a lot of differences between erwin 4.4 and 2020."

"I would like the solution to be less rigid in terms of its theory."

"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."

"The erwin Data Modeler is quite complex to use."

"It does not have a cloud application."

More erwin Data Modeler by Quest cons

Pricing and Cost Advice

"The platform’s pricing depends on the specific project requirements."

"Though the solution is not cheap, it's worth the money."

"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."

"The tool is expensive."

"erwin Data Modeler by Quest is an expensive solution."

"Pricing is very high compared to any other product."

"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."

"I don't specifically know what we're paying now. About three years ago, in another organization, I have this memory of 6,000 AUD a seat or something like that, but I am not sure. In the mid-2000s, it was something like 1,200 AUD a seat. I get the impression that there was a price jump when it was spun off from CA as a separate company, which is understandable, but it could sometimes be a barrier in some organizations picking it up. I haven't talked to erwin people yet, but I'm going to suggest to them that they could perhaps think of having an entry-level product that is priced a bit lower, and then, you can buy the extra suite."

"The price of erwin Data Modeler is very expensive, in particular for this part of the world."

More erwin Data Modeler by Quest pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Government

15%

Comms Service Provider

10%

Transportation Company

Financial Services Firm

18%

Manufacturing Company

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about AWS Well-Architected Tool?

The product's most valuable feature is adaptability.

See all answers

What is your experience regarding pricing and costs for AWS Well-Architected Tool?

The platform’s pricing depends on the specific project requirements. Customers sometimes prefer using AWS Well-Architected Tool as they already partner with the solution provider.

See all answers

What needs improvement with AWS Well-Architected Tool?

They could provide a simplified process for building and deploying solutions in the cloud.

See all answers

What do you like most about erwin Data Modeler by Quest?

Forward engineering, DDL generation, reverse engineering, and reporting are the most valuable features of the solution.

See all answers

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?

The product is expensive. I rate the product’s pricing a nine out of ten, where one is cheap and ten is expensive.

See all answers

What needs improvement with erwin Data Modeler by Quest?

As a documenting tool, it's solid, though its reporting could be more robust. The reporting mechanisms could be more intuitive regarding report creation. It can generate reports in CSV files, displ...

See all answers

Comparisons

Sparx Systems Enterprise Architect vs AWS Well-Architected Tool

Compared 29% of the time

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SAP PowerDesigner vs erwin Data Modeler by Quest

Compared 36% of the time

IDERA ER/Studio vs erwin Data Modeler by Quest

Compared 18% of the time

Lucidchart vs erwin Data Modeler by Quest

Compared 12% of the time

Visio vs erwin Data Modeler by Quest

Compared 6% of the time

No Magic MagicDraw vs erwin Data Modeler by Quest

Compared 3% of the time

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Product Reports

Buyer's Guide

Enterprise Architecture Management

August 2025

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Buyer's Guide

erwin Data Modeler by Quest

August 2025

Download erwin Data Modeler by Quest product report

Also Known As

AWS Well Architected Tool

erwin DM

Overview

The AWS Well-Architected Tool helps you review the state of your workloads and compares them to the latest AWS architectural best practices. The tool is based on the AWS Well-Architected Framework, developed to help cloud architects build secure, high-performing, resilient, and efficient application infrastructure. This Framework provides a consistent approach for customers and partners to evaluate architectures, has been used in tens of thousands of workload reviews conducted by the AWS solutions architecture team, and provides guidance to help implement designs that scale with application needs over time.

Amazon Web Services (AWS)

erwin Data Modeler by Quest enables comprehensive database design through visual and physical representation, supporting diverse platforms. It facilitates data modeling, reverse engineering, and schema generation, optimizing database development efficiency.

erwin Data Modeler by Quest provides powerful tools for designing databases using conceptual, logical, and physical modeling techniques. It offers reverse engineering of existing databases, database schema generation, and supports platforms like SQL Server, Oracle, and Teradata. Its visual models help illustrate complex data structures and foster collaboration among business users. The robust capabilities in reverse and forward engineering further enhance its usefulness in enterprise data projects, making it indispensable for developing data warehouses and operational systems. It incorporates a centralized repository to ensure consistent data model management across diverse business endeavors.

What key features define erwin Data Modeler?

Database Representation: Visual and physical views for comprehensive database design.
DDL Generation: Automated database schema creation for streamlined workflows.
Versioning: Effective management of database model versions for seamless updates.
Data Comparison: Tools for synchronizing and comparing various data sources.
Bulk Editor: Efficient handling of large models to simplify complex data management.

What benefits drive users to consider erwin Data Modeler?

Improved Collaboration: Visual models facilitate teamwork between data modelers and business users.
Enhanced Efficiency: Automated processes in forward and reverse engineering save time.
Platform Support: Broad compatibility with platforms like SQL Server, Oracle, and Teradata.
Centralized Management: Repository-based management for unified data model control.

Industries leverage erwin Data Modeler for managing enterprise data projects, aiding in the construction of data warehouses and operational systems. With its powerful modeling capabilities, it is used to ensure data structure consistency in diverse sectors such as finance, healthcare, and telecommunications.

Quest Software

Sample Customers

CyberAgent, Inc., nClouds

Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples

Buyer's Guide

Enterprise Architecture Management

August 2025

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