erwin Data Modeler vs. Informatica Cloud Data Governance

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
erwin Data Modeler
Score 8.9 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
Informatica Cloud Data Governance
Score 7.0 out of 10
N/A
Informatica Cloud Data Governance helps to ensure data is consistent, accurate and reliable with unified cataloging, governance and quality. It automates manual tasks with AI/ML, freeing data stewards to focus on mission-critical processes.N/A
Pricing
erwin Data ModelerInformatica Cloud Data Governance
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
erwin Data ModelerInformatica Cloud Data Governance
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details——
More Pricing Information
Community Pulse
erwin Data ModelerInformatica Cloud Data Governance
Top Pros
Top Cons
Best Alternatives
erwin Data ModelerInformatica Cloud Data Governance
Small Businesses
Egnyte
Egnyte
Score 7.7 out of 10
Egnyte
Egnyte
Score 7.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
erwin Data ModelerInformatica Cloud Data Governance
Likelihood to Recommend
6.1
(7 ratings)
6.5
(2 ratings)
Usability
9.0
(2 ratings)
-
(0 ratings)
Support Rating
9.0
(3 ratings)
-
(0 ratings)
User Testimonials
erwin Data ModelerInformatica Cloud Data Governance
Likelihood to Recommend
Quest Software
I have had a chance to use few other data modeling tools from Quest and Oracle, but I am most comfortable using erwin Data Modeler. They understand your data modeling needs and have designed the software to give you a feeling of completeness when you are designing a data model.
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Informatica
The Informatics vision is already determined and with the relationships already configured, or that plasters any new type of vision or relationship between the Assets. As a result, a pedigree diagram is poor and limited with the availability of information on the screen or in reports for consultation and decision making. It has an approval and maintenance workflow that is also limited to assets already made available only by Informática. It will not be possible to see the connection of a technical, functional, and documentary line in a single flow. It allows the registration of all data referring to a DPIA and LIA, but it does not generate a report that allows the aggregation of this set of information in a single place. The tool makes information available to support a decision regarding the DPIA and LIA, but it does not make it available in a unified way as in a report.
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Pros
Quest Software
  • Reverse Engineering: I love the way we can import an SQL file containing schema meta data and generate ER diagram out of it. This is specifically useful if you are implementing erwin Data Modeler for an existing database.
  • Forward Engineering: We use this feature very frequently. Where we do database changes in our physical and logical data models and then generate deployment scripts for the changes made.
  • Physical vs Logical Models: I like to have my database model split into physical and logical models and at the same time still linked to each other. Any changes you make to logical model or physical model shows up in the other.
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Informatica
  • Data Catalog
  • Integration with Different Databases.
  • Relationship between data and trading rules and trading terms.
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Cons
Quest Software
  • Cost is the single largest barrier to entry with this tool.
  • Would like to see a greater variety of export options available for use outside of the tool, for example as a vector graphic.
  • Support has been uneven at times.
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Informatica
  • High Complexity, requires training.
  • As it does not allow customization in relationships such as information separately in visual form and even in other tools of the Informatics group such as EDC.
  • Navigation is complex.
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Usability
Quest Software
I had a lot of experience using erwin Data Modeler for designing data models. I think it's pretty intuitive and easy to use. It has enough features to represent your database requirements in form of a model.
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Informatica
No answers on this topic
Support Rating
Quest Software
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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Informatica
No answers on this topic
Alternatives Considered
Quest Software
Not listed, but I've only used alternatives built into something like the Squirrel SQL editor. That one is semi-functional but lacking many features and, in some instances, just plain wrong. The only pro there is that it's freely available and works over ODBC. I've tried some of the other free ones like Creately but didn't have much success.
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Informatica
Overall experience with Axon is average and it is a very manual product. Axon is a very good tool for data governance. User-friendly interface and is integrated with multiple systems.
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Return on Investment
Quest Software
  • It is difficult to assign a monetary value to it. The initial learning curve was fairly long.
  • It allows us to have better support documentation.
  • It allows ease of communications between functional units.
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Informatica
  • Negative impact: high training demand
  • Negative impact: high cost of infrastructure
  • Negative impact: does not meet privacy management
  • Positive impact: very good support
  • Positive impact: rapid implementation
  • Positive impact: very good data discovery quality
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ScreenShots

erwin Data Modeler Screenshots

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