erwin Data Modeler vs. RecordPoint

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
RecordPoint
Score 8.0 out of 10
N/A
The RecordPoint Data Trust platform helps regulated organizations manage records and data throughout their lifecycle. The customizable platform is comprised of records management and data lineage tools with audit trails from creation to disposal to demonstrate compliance.N/A
Pricing
erwin Data ModelerRecordPoint
Editions & Modules
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Offerings
Pricing Offerings
erwin Data ModelerRecordPoint
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 ModelerRecordPoint
User Ratings
erwin Data ModelerRecordPoint
Likelihood to Recommend
6.1
(0 ratings)
-
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Support Rating
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
erwin Data ModelerRecordPoint
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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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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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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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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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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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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ScreenShots

erwin Data Modeler Screenshots

Screenshot of Screenshot of Screenshot of

RecordPoint Screenshots

Screenshot of the RecordPoint Data Trust platform's connector framework, which allows for connection of business systems for a comprehensive data inventory. All data passes from these connected sources through its intelligence engine, which detects signals like data size, type, location, metadata, sensitivity; and then it’s de-duped, inventoried and classified.Screenshot of RecordPoint's Intelligence Signaling feature, used to automatically detect private information at risk across data inventory. Managed content sources are crawled for privacy signals both Personally Identifiable Information (PII) and Payment Card Industry (PCI) data, which is then applied to the metadata to ensure consistency regardless of the system origin.Screenshot of the Classification Intelligence feature that automatically categorizes data based on an organization’s policies faster than any human. Classification Intelligence features allow users to build Machine Learning (ML) models based on the organization's taxonomy to ensure accurate data categorization.Screenshot of the data minimization features that allow for defensible disposal including retention schedules and disposal approval workflows. As records become eligible for disposal, the RecordPoint platform will triage these records into a defined disposal management process that ensures the right people have the visibility and control to review and approve destruction before it occurs.