Dell Compellent (discontinued) vs. IBM Elastic Storage Server

All in all this series great in addressing issues applications that need flash storage as a backend storage supply. It addresses the need for fast, responsive servers that need to boot quickly. It is easy to use and for the most part there are few issues and none that can't be addressed/fixed quickly.

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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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• Dell Compellent support (Co-Pilot) and the add-on service (Optimize) are critical services that Dell Compellent does very well. Alerts from the array are sent to Co-Pilot where tickets are automatically generated and customers are notified of events. Of greater importance at times is the proactive support Co-Pilot and Optimize provide by contacting us of inefficiencies in the array and consulting on resolutions.
• Enterprise Manager (Dell's "single pane of glass" management framework) is a useful tool for configuration/evaluation of the array and other Compellent products.
• Ease of management. From firmware upgrades to managing server volumes the process is much simpler than with other arrays.

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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

• The GUI could be a little more updated with a lot more information regarding usage.
• There could be some assistance with high I/O times where snapshots go to consolidate. There seems to be issues when that attempts to occur, and there will times where the virtual machine stuns due to the I/O intensity.
• Modification of multiple volumes or the creation of multiple volumes is a pain in the DSM management console.

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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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This is not solely based on the support engineers themselves but more so that the logging and gotcha's that their array has. There have been multiple times where logs are pulled, but the folder is not large enough, and it crashes the array. Other times there are certain aspects that support either does not know of or isn't knowledgable about how to look at particular issues that could be causing problems.

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We selected Compellent solely based on price. Honestly I would rate it only slightly better than a QNAP we used (which was even cheaper). If performance and reliability are factors in your decision (and they should be) I would recommend looking at something like a VNXe.

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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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• The SC9000 has been able to serve our current and futures needs well enough to not need to upgrade anytime soon.

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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.