IBM Elastic Storage Server vs. Red Hat Virtualization (discontinued)

Reliable data storage and access is a big challenge in AI applications and IBM ESS is a service you need to solve the problem. If you are building an AI service and you already use the IBM ecosystem for AI compute requirements, ESS can serve as an excellent software based storage solution. Integration with other platforms such as EMR/Databricks is still a challenge and should be improved.

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RHEV is well suited for organizations that need a cost-effective and flexible solution for their environment. As its vendor-independent software, easily install on any type of hardware. RHEV provides a GUI interface to manage the software, which makes the management of the software easier for the end-user. RHEV is best for non-production or less critical applications. RHEV can be easily integrated with other REDHAT software.

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• Powerful processing power, literally support unlimited scale out storage capabilities
• well integrated and supported with multi flavor environment and file systems.
• Huge capacity with in a very reduced form factor of disks/enclosures

• RHV issues/bugs can be reported via Bugzilla to RH support. The service is great and typically responds soon.
• Red Hat distribution integration is seamless as it is integrated into the kernel.
• OpenStack support enables more customized VM templates and network configuration control.

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• Integration and configuration need a bit more technical expertise which is I guess expected.
• There can be some improvement in integration with Legacy applications.

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• 1- RHVM API is pretty slow, especially after creating a VM it is not possible to retrieve the VM details (i.e VM's MAC Address) fast enough, where we need to place a pause in our Ansible Playbook, make the automation process slow.
• 2- RHV is still using collected to monitor the hypervisors which is deviating from Red Hat policy for other RHEL based applications to use PCP to monitor, which is richer in features.
• 3- It will be great if it is possible to patch the hypervisors using other tools such as satellite and not only via RHVM.
• 4- In the past Red Hat used to present patches in the z release (i.e. 4.3.z), and features in the y release (i.e 4. y), but starting from 4.4 that is mixed together wherein the Z release you get both patches and features, that is not good because that requires a lot of time to test when we patch as it includes features as well.
• 5- Engineering team has to be more reactive when new feature is requested.

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IBM ESS is optimized for AI and Big Data usecases while S3 is a general purpose storage solutions. EMR and Databricks have lakehouse/data warehousing solutions for distributed computing but are more optimized for just the big data pipelining solutions and not essentially for AI usecases, especially for inference, when you need to load model artifacts really quickly.

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RHEV is an excellent product, includes more features, is less expensive, and has rock solid reliability and is backed with the best Red Hat Support in the industry. RHEV uses KVM under the hood which is used by all the big players in the industry (AWS, Rackspace, etc) to lower their overall costs and improve efficiency and profits and that's why RHEV is an excellent solution!

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• When the cost and price dynamics comes into account, we have replaced age old traditional arrays with almost negligible cost with ESS
• able to extend the capabilities of global teams to work and share their experiences and knowledge with other teams.

• RHEV has provided a positive ROI as our customers are not experiencing as many outages during maintenances.
• We have not experienced any catastrophic failures as a result of vsphere losing connection to the ntp.
• There has been a level of stability in our environment that was not previously experienced with our previous vendor.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info