erwin Data Modeler vs. Komprise

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
Komprise
Score 10.0 out of 10
N/A
Komprise is the database development and management solution from the company of the same name in Campbell, California.N/A
Pricing
erwin Data ModelerKomprise
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
erwin Data ModelerKomprise
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 ModelerKomprise
Top Pros
Top Cons
Best Alternatives
erwin Data ModelerKomprise
Small Businesses
Egnyte
Egnyte
Score 7.6 out of 10
DBeaver
DBeaver
Score 8.4 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
DBeaver
DBeaver
Score 8.4 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
DBeaver
DBeaver
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
erwin Data ModelerKomprise
Likelihood to Recommend
6.1
(7 ratings)
10.0
(1 ratings)
Usability
9.0
(2 ratings)
-
(0 ratings)
Support Rating
9.0
(3 ratings)
-
(0 ratings)
User Testimonials
erwin Data ModelerKomprise
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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Komprise
As any other archiving solution, it is very well suited for environments with a large footprint of unstructured data (CIFS / NFS shares for user data) with a large amount of unused/old files and a need to keep those unused files for long term. In our scenario, due to some legal and contractual constraints we need to keep these files for 15 years. Archiving is a good choice to move the unused files to a cheaper storage tier, both on-prem or cloud.
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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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Komprise
  • It gives you a good overview on user data: files age, sizes, file types, owners, etc.
  • It is very flexible on the archiving policies.
  • The data scans are really fast without affecting storage's performance.
  • It has a great alternative to STUB files, which they call 'bread crumbs' (symlinks to files).
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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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Komprise
  • Its licensing plan, which takes into account the amount of data analyzed instead of data transferred.
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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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Komprise
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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Komprise
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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Komprise
We have used Veritas Enterprise Vault in the past, and besides its being a well-known player on the data archiving market, their tool is far more complex to implement, to manage and to keep working. Komprise is very robust and also very easy to implement, as most part of the job is done on Komprise side. The management console is delivered through a public URL as a SaaS platform. You only need to deploy a few VMs for scan/archiving/user access, which they call "Observer VMs." Komprise also doesn't uses Stub files, which is a poor implementation adopted by the competitor for file access. We had a lot of issues in the past with stub files. Komprise has implemented 'bread crumbs', which are CIFS symlinks to the files on the Observer. It is a very good implementation and it works really well.
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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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Komprise
  • It allowed us to free up some space on our main storage during a time where we didn't have the budget to expand it.
  • It allows us to move unused data to a cheaper storage tier (Azure Blobs).
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ScreenShots

erwin Data Modeler Screenshots

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