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."The product's most valuable feature is adaptability."
"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."
"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."
"There is absolutely no problem with the stability."
"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 fitting model is very intuitive."
"It is a scalable solution...The technical support team is fine."
"Any tool will do diagramming but I think the ability to put the stuff up in a graphical fashion, then think about it, and keep things consistent is what's valuable about it. It's too easy when you're using other methods to not have naming consistent standards and column consistent definitions, et cetera."
"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."
"They could provide a simplified process for building and deploying solutions in the cloud."
"I am not so happy with its speed. Sometimes, it can have problems with connections."
"I would like the solution to be more user-friendly to deploy."
"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."
"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."
"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."
"I would like the solution to be less rigid in terms of its theory."
"In terms of improvements, support could have been better in terms of installation, especially of workgroups. We struggled quite a bit to get it up and running. Collaboration could have been better from an installation perspective, but it is trivial as compared to what we use it for. Other than that, I don't have much feedback. It works pretty well, and the fact that we've been using it for more than a decade shows that it is quite solid."
"There is a lack of local support in the China region."
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, Lucidchart, Visio and LeanIX.
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