![Brendan M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Brendan M.")
BM

Brendan M.

Senior analyst

Mid-Market (51-1000 emp.)

7/23/2026

"Powerful Reverse Engineering for Keeping Logical and Physical Models in Sync"

4/5

What do you like best about erwin Data Modeler?

It has powerful reverse engineering capabilities. It's worked well with our poorly documented database schemas. It can cleanly separate logical and physical models, which is really valuable and works seamlessly with connecting our concepts and database implementations. You can maintain clean business models while simultaneously mapping to different physical targets without breaking data standards or losing synchronization whenever schemas change or adapt. Review collected by and hosted on G2.com.

What do you dislike about erwin Data Modeler?

The interface isn't amazing. It feels like a legacy enterprise app. It's not brought up to modern cloud-native tools. It has a lack of AI features. There's quite often friction with our code-first workflows. While erwin handles traditional base database management, while integrating it smoothly into our modern pipelines and get-driven environments can feel heavy. Review collected by and hosted on G2.com.

What problems is erwin Data Modeler solving and how is that benefiting you?

As database architectures grow, individual engineers now less often introduce subtle variations in our naming conventions and structures. It leads to fragmented data environments. erwin centralizes metadata domain rules and naming standards, knowing that our schemas adhere to defined enterprise structures, which eliminates guessing games when querying data sets and saves me and my team hours of debugging. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

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4.2 out of 5 · Verified reviews from real users

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