IBM Spectrum Computing Primary Use Case
The typical use case for IBM Spectrum Computing is that it's an all-rounder. It can be used in various scenarios, such as the retailer I work for that has batch processing. It's on-demand when performance is needed immediately.
The solution has been designed with that in mind, not specifically for capacity but for performance. The configuration we have today is performance-focused, and many features have been added to the configuration to achieve that. Additionally, it can run file servers, backups, database transactional online processing, Kubernetes, VMware, Oracle, and even mainframe.
View full review »It is big on resilience and security. Their focus is on providing robust and secure solutions. Due to their high-end server models, IBM products are often more expensive than competitors. While IBM is not exactly a niche market player, it doesn't dominate the server market. IBM's share is relatively small, around 15 percent, compared to other server vendors.
View full review »I mainly used Spectrum Computing for data management, governance, quality, and ETL activity.
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Hadoop
July 2025

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We primarily use the solution for data.
View full review »We use this product to back up our data.
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Mohamed Youssef
Sr. Pre-Sales Engineer at Advanced Technology Company
The primary use case of this solution is to backup everything in our data center. This includes VMware environments, Microsoft Hyper-V, Unix machines including HP UNIX, and AIX, as well as normal machines for Windows.
The deployment model we used was on-premises.
JY
Systadmini67
System, Storage and Data Administrator at ORNESS
The primary case use of this solution is data backup and storage for our customers.
The deployment model we are using is on-premises.
View full review »The primary use case is for PowerVAC. The use case is mainly for ETL activity. I'm working in the commercial department of the company. We have a partnership with IBM.
View full review »I'm using it in a high-performance computing solution on a specific cloud project requiring HPC to be provisioned through private and public cloud services.
View full review »Buyer's Guide
Hadoop
July 2025

Find out what your peers are saying about IBM, Hewlett Packard Enterprise, Cloudera and others in Hadoop. Updated: July 2025.
861,803 professionals have used our research since 2012.