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 principal feature that I liked is that the solution has a very graphic interface."
"The ability to collaborate between different members across the organization is the most valuable feature. It gives us the ability to work on the same model, regardless of where we are physically."
"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."
"It allows us to create logical data models. We can represent a database model in business terms, which is very useful for us."
"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 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."
"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."
"We can create mappings in erwin and possibly data dictionaries."
"They could provide a simplified process for building and deploying solutions in the cloud."
"erwin is not as robust as a data warehousing project I've been on in the past."
"The solution's model mark could be better because it crashes sometimes."
"The modeling product itself is far and above anything else that I've seen on the market. There are certain inconsistencies when it comes to keeping up with other platforms' databases in the reverse-engineering process. It should also support more database platforms."
"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."
"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."
"The erwin Data Modeler is quite complex to use."
"I love the product. I love the ability to get into the code, make it automated, and make it do what I want. I would like to see them put some kind of governance over the ability to make changes to the mart tables with the API, so that instead of just using the modeler's rights to a table -- it has a separate set of rights for API access. That would give us the ability to put governance around API applications. Right now a person with erwin and Excel/VBA has the ability to make changes to models with the API if they also have rights to make changes to the model from erwin. It's a risk."
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 and BiZZdesign HoriZZon, whereas erwin Data Modeler by Quest is most compared with SAP PowerDesigner, IDERA ER/Studio, Visio, Lucidchart and LeanIX.
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