erwin Data Modeler vs. IBM Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
erwin Data Modeler
Score 10.0 out of 10
N/A
erwin Data Modeler by Quest is a data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. It can 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, accomplishing this whil esupporting data governance and intelligence efforts.N/A
IBM Cloud Pak for Data
Score 8.6 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
Pricing
erwin Data ModelerIBM Cloud Pak for Data
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
erwin Data ModelerIBM Cloud Pak for Data
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
erwin Data ModelerIBM Cloud Pak for Data
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erwin Data ModelerIBM Cloud Pak for Data
Small Businesses
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Score 9.6 out of 10
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Medium-sized Companies
IBM InfoSphere Information Server
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Score 8.0 out of 10
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Score 8.0 out of 10
Enterprises
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Score 8.0 out of 10
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User Ratings
erwin Data ModelerIBM Cloud Pak for Data
Likelihood to Recommend
6.1
(0 ratings)
9.9
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Support Rating
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
erwin Data ModelerIBM Cloud Pak for Data
Likelihood to Recommend
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.
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Unlike others analytics tool IBM Cloud Pak for Data provides out-of-the-box privacy, model interpretability and fairness monitoring, along with automatic explanation of data and models written in business language. It's a great tool that all business should emulate. Great user experience because of every feature is functional and improved constantly.
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Pros
  • 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.
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  • The AI services catalog like the Watson Assistant is very good.
  • The analytics dashboard featuring all the recent history is very good with IBM.
  • Searching for data through the unified search option is super cool.
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Cons
  • 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.
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  • It is complex; The platform comes with several features from MLOPs to Customer 360 which may take a long time for the user to understand.
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Usability
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.
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No answers on this topic
Support Rating
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.
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Alternatives Considered
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.
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IBM has healing mechanisms when resource usage is high. This platform performs well, but when it runs out of capacity, it has crashed for many clients. This is innate in its original design
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Return on Investment
  • 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.
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  • can improve readiness for cloud migration, improve licensing flexibility with IBM, and reduce both hardware purchases and infrastructure management efforts.
  • reduces the expenses of internal resources.
  • should improve efficiencies, reduce risks, and increase performance
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ScreenShots

erwin Data Modeler Screenshots

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