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

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679 views|507 comparisons
100% willing to recommend
erwin by Quest  Logo
6,311 views|3,313 comparisons
94% willing to recommend
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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.

Find out what your peers are saying about LeanIX, Sparx Systems, erwin by Quest and others in Enterprise Architecture Management.
To learn more, read our detailed Enterprise Architecture Management Report (Updated: April 2024).
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Featured Review
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."

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"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.""We can create mappings in erwin and possibly data dictionaries.""It has centralized storage so that a data model can be shared by different teams.""We had some data integration projects, where we needed to integrate it for about 100 databases. Doing that manually is crazy; we can't do that. With erwin, it was much easier to identify which tables and columns could be used for the integration. That means a lot in terms of time and effort as well as my image to the customer, because they can see that we are providing value in a very short time.""The most valuable features are the ability to reverse engineer and do model comparison. With the reverse engineering, I can understand the databases from third-party products. With the model comparison, I can track the differences between two versions of the same database.""What has been useful, I have been able to reverse engineer our existing data models to document explicitly referential integrity relationships, primary/foreign keys in the model, and create ERDs that are subject area-based which our clients can use when working with our databases. The reality is that our databases are not explicitly documented in the DDL with primary/foreign key relationships. You can't look at the DDL and explicitly understand the primary/foreign key relationships that exist between our tables, so the referential integrity is not easily understood. erwin has allowed me to explicitly document that and create ERDs. This has made it easier for our clients to consume our databases for their own purposes.""They have a lot of features and the most up-to-date technology integration, which I haven't seen in other products.""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."

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

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"I would like to see the ability to support more NoSQL platforms more quickly. In addition, enhancing the graphics to render more quickly would be beneficial for any user.""erwin generally fails to successfully reverse engineer our Oracle Databases into erwin data models. The way that they are engineered on our side, the syntax is correct from an Oracle perspective, but it seems to be very difficult for erwin to interpret. What I end up doing is using Oracle Data Modeler to reverse engineer into the Oracle data model, then forward engineer the DDL into an Oracle syntax, and importing that DDL into erwin in order to successfully bring in most of the information from our physical data models. That is a bit of a challenge.""Some Source official systems give us DDLs to work with and they have contents not required to be part of the DDL before we reverse engineer in the erwin DM. Therefore, we manually make changes to those scripts and edit them, then reverse-engineer within the tool. So, it does take some time to edit these DDL scripts generated by the source operational systems. What I would suggest: It would be helpful if there were a place within the erwin tool to import the file and automatically eliminate all the unnecessary lines of code, and just have the clean code built-in to generate the table/data model.""There is a lack of local support in the China region.""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.""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.""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 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."

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Pricing and Cost Advice
  • "The platform’s pricing depends on the specific project requirements."
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  • "The primary reasons that erwin was selected were that it was much more affordable for us [than Embarcadero] and it was easily maintainable."
  • "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."
  • "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."
  • "The price should be lower in order to be on the same level as its competitors."
  • "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."
  • "There are no costs in addition to the standard licensing fees."
  • "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."
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    Questions from the Community
    Top Answer:The product's most valuable feature is adaptability.
    Top Answer: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.
    Top Answer:They could provide a simplified process for building and deploying solutions in the cloud.
    Top Answer:Forward engineering, DDL generation, reverse engineering, and reporting are the most valuable features of the solution.
    Top Answer:The solution's model mark could be better because it crashes sometimes.
    Ranking
    Views
    679
    Comparisons
    507
    Reviews
    1
    Average Words per Review
    285
    Rating
    8.0
    Views
    6,311
    Comparisons
    3,313
    Reviews
    11
    Average Words per Review
    432
    Rating
    7.9
    Comparisons
    Also Known As
    AWS Well Architected Tool
    erwin DM
    Learn More
    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.

    erwin pioneered data modeling, and erwin Data Modeler (erwin DM) remains trusted, award-winning software for data modeling and database design, automating complex and time-consuming tasks. Use it to discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives – all while supporting data governance and intelligence efforts.

    Sample Customers
    CyberAgent, Inc., nClouds
     Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Government11%
    Computer Software Company10%
    Manufacturing Company7%
    REVIEWERS
    Financial Services Firm28%
    Insurance Company21%
    Government14%
    Energy/Utilities Company7%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Government10%
    Computer Software Company9%
    Manufacturing Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise10%
    Large Enterprise78%
    REVIEWERS
    Small Business33%
    Midsize Enterprise7%
    Large Enterprise60%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    Buyer's Guide
    Enterprise Architecture Management
    April 2024
    Find out what your peers are saying about LeanIX, Sparx Systems, erwin by Quest and others in Enterprise Architecture Management. Updated: April 2024.
    770,458 professionals have used our research since 2012.

    AWS Well-Architected Tool is ranked 15th in Enterprise Architecture Management with 1 review while erwin Data Modeler by Quest is ranked 3rd in Enterprise Architecture Management with 37 reviews. AWS Well-Architected Tool is rated 8.0, while erwin Data Modeler by Quest is rated 8.6. The top reviewer of AWS Well-Architected Tool writes "Has an efficient adaptability feature and helps us set up a high-performing architecture. ". On the other hand, the top reviewer of erwin Data Modeler by Quest writes "The product lets users import different types of models, but it is expensive, and the interface must be improved". AWS Well-Architected Tool is most compared with SAP PowerDesigner, whereas erwin Data Modeler by Quest is most compared with SAP PowerDesigner, IDERA ER/Studio, Visio, Lucidchart and LeanIX.

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    We monitor all Enterprise Architecture Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.