erwin Data Modeler vs. OvalEdge

If you have a database environment that gets frequent schema object change requests. erwin Data Modeler is a great tool for version control and release control. Also, it's very useful to communicate between database and application teams.

Incentivized

OvalEdge's suite operates very efficiently and is easy to get around. This was actually my first experience with this kind of tool and it was up and running very quickly.

Incentivized

• Creation of logical data models
• Reverse engineering
• Excellent communication tool in conversations with Developers and BAs
• As a company, Erwin provides lots of tutorials and how-tos.

Incentivized

• Features to control performance based on specific needs
• 24x7 support to get issues resolved
• API support

Incentivized

• erwin Data Modeler allows only 25 entities in a trial version. It really limits you when you want to try out the product before actually deciding to pay for licensing cost. It would be rather helpful if they limit the trial period by days instead.
• The UI is pretty good but sometimes the large diagrams are hard to manage. A little improvement in that area would be helpful.

Incentivized

• OvalEdge cannot find PII in unstructured data

Incentivized

The product is well designed and intuitive to use. The number of buttons and options can look a bit overwhelming initially but they come very handy when you get used to product.

Incentivized

CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.

Incentivized

I have used few other data modeling tools like Toad Data Modeler and SQL Developer Data Modeler. erwin Data Modeler is easy to use and has additional features that make overall data modeling productive and easy to manage.

Incentivized

We looked at many other data catalogs, but none of the others fit all our use cases.

• Reduced rework from when models were maintained individually.
• Reduced the amount of time to generate and compare models during development.
• Massively reduced the amount of time to reverse engineer 3rd party data models for analysis.

Incentivized

• Data Lineage and Impact Analysis