IBM Elastic Storage Server vs. StorMagic SvSAN

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.

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

The StorMagic SvSAN solution is certainly suitable for two-node architectures where business continuity is required at a reasonable price, with a workload that is not particularly complex. It is not the right solution if you have a virtual environment with a large number of VMs and workloads that require high performance.

• 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

• Storage Mirroring
• Low Price
• Easy deploy
• Easy management

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

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

• Technical support could be improved
• Inadequate performance for complex environments
• Architecture needs a witness

Deploying the solution is fairly simple. A system administrator with basic data centre knowledge can configure the StorMagic SvSAN suite independently by following the guides provided. Troubleshooting is greatly simplified thanks to the features available in the management interface. The dashboard allows you to easily manage the technology thanks to a very intuitive and well-designed interface.

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.

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

• 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.

• High resiliency of infrastructure
• Respect low budget
• No waste time for management