IBM Elastic Storage Server vs. IBM System Storage DS8900F

1. Perfect solution for geographically separated teams to work on sharing files/media. 2. Mainly suitable for CCTV/video recordings as the network speed and disk throughput is mammoth 3. Suites well for organizations looking for their own private cloud object storage solutions 4. primarily focused on hosting next-generation of applications centric to AI/IOT and ML.

It's a qualified 10. If it's a mainframe environment I wouldn't think twice. An open systems environment I would ask many questions to make sure that it's not going to be a bad decision. The open systems environments would need to have requirements to drive the DS8000. It would work for any environment in the interop matrix, but I'd just want to make sure that it's the right fit.

Incentivized

• Very High Availability and Scalability
• Works particularly well for AI and Big Data usecases
• Easily unifies all sorts and types of Data

Incentivized

• Allows us to use GDPS for our disaster recovery solution. This is a strength because it enables us to meet our DR requirements.
• Allows us to have encryption of our data at rest. This is a strength because it enables us to meet our security requirements.
• Allows us to have a stable and reliable disk storage. This is a strength because it enables us to meet our data availability requirements.

Incentivized

• The maintenance procedure is not straight forward, needs lots of steps/dependency on spectrum scale software
• Should have an option to deliver as an bundled components under IBM, instead of individual components from different vendors

• I have seen the GUI say that the storage facility is inaccessible, even when getting a clean health check from IBM. Typically rebooting the HMC fixes this.
• When decommissioning a box, you cannot delete arrays until ranks are done formatting. This adds a lot of time to the decomm process
• IO ports do not have a topology by default

Incentivized

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

Other vendors lack many of the mainframe functions provided by DS8k. SInce IBM is the most prominent maninframe vendor support is unmatched.

Incentivized

• On demand scalability helped us in better projection of storage requirement
• With reduced human resource for operation and maintenance of storage, ROI has been increased a lot.
• High performance of Big Data applications using IBM Elastic Storage Server has improved the business.

Incentivized

• The DS8000 helps my customers meet their overall business objectives by providing a bulletproof platform for the most critical enterprise environments

Incentivized