DataCore vFilo vs. IBM Storage Fusion

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DataCore vFilo
Score 0.0 out of 10
N/A
To control unstructured data growth and NAS sprawl across an organization, DataCore vFilO is designed to let users centrally manage file and object data storage, as well as NAS devices, to optimize capacity and lower storage costs across on-premises, cloud and hybrid infrastructures. With it, users can pool file and object data into a centrally managed global namespace from where they can gain visibility and control across on-premises and cloud storage.N/A
IBM Storage Fusion
Score 8.5 out of 10
N/A
IBM Storage Fusion is the foundation for container-native applications running on Red Hat OpenShift, which provides enterprise grade data-storage and protection services. This solution includes data services that are critical for global enterprise applications and a data driven Red Hat OpenShift environment. IBM Storage Fusion is built on a technology that provides global access to data to container applications. The application sees the data as another local file…N/A
Pricing
DataCore vFiloIBM Storage Fusion
Editions & Modules
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Offerings
Pricing Offerings
DataCore vFiloIBM Storage Fusion
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
User Ratings
DataCore vFiloIBM Storage Fusion
Likelihood to Recommend
-
(0 ratings)
8.5
(0 ratings)
User Testimonials
DataCore vFiloIBM Storage Fusion
Likelihood to Recommend
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Every new user has to get hands-on to start utilizing it Optimal. Once user understands to implementing process and technical configuration, the user will get optimal usage of IBM Fusion. Best part of IBM fusion are, easy to connect with DB(different types), Security features, creation of a data layer(as per requirement) on top of application data
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Pros
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  • Machine learning model training and execution was at ease
  • Performance was good
  • Highly scalable
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Cons
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  • Existing AI models should be able to utilize to other use cases
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Alternatives Considered
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Return on Investment
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  • smoothened the process of developing new features in the existing products after migration as one single plane of console does all the job
  • Reduced the cost in managing a dedicated storage environment
  • On the other side, few licenses like existing backup cann't be used instead we have to rely on IBM offerings
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