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IBM Spectrum Computing pros and cons

Vendor: IBM
4.1 out of 5
1,145 followers
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IBM Spectrum Computing Pros review quotes

reviewer2145051 - PeerSpot reviewer
Aug 8, 2024
IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,
reviewer2035479 - PeerSpot reviewer
Jul 18, 2024
The comparison was challenging, but the IBM Spectrum Scale offered a balanced solution. Our engineers rated itsanalytics capabilities equally high as Pure Storage. For workload management, Spectrum Computing provided effective solutions that met our needs. Workload management is part of a complete solution that uses different tools. There were the cloud and HPC parts; within HPC, there were parts like liquid cooling, simple computing, storage, and orchestration. The orchestration team handled the workload management.
MY
Sep 27, 2019
We are satisfied with the technical support, we have no issues.
Find out what your peers are saying about IBM, Hewlett Packard Enterprise, Cloudera and others in Hadoop. Updated: November 2024.
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reviewer1755426 - PeerSpot reviewer
Jan 5, 2022
The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers.
reviewer1153332 - PeerSpot reviewer
Nov 25, 2020
The most valuable feature is the backup capability.
Avra Jyoti Ghosh - PeerSpot reviewer
Aug 25, 2022
Spectrum Computing's best features are its speed, robustness, and data processing and analysis.
JY
Sep 11, 2019
This solution is working for both VTL and tape.
reviewer1755426 - PeerSpot reviewer
May 22, 2023
Easy to operate and use.
 

IBM Spectrum Computing Cons review quotes

reviewer2145051 - PeerSpot reviewer
Aug 8, 2024
IBM's sales and support structure can be challenging.
reviewer2035479 - PeerSpot reviewer
Jul 18, 2024
In Pakistan, IBM's disadvantage is the lack of OEM support and presence.
MY
Sep 27, 2019
SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing.
Find out what your peers are saying about IBM, Hewlett Packard Enterprise, Cloudera and others in Hadoop. Updated: November 2024.
816,406 professionals have used our research since 2012.
reviewer1755426 - PeerSpot reviewer
Jan 5, 2022
We'd like to see some AI model training for machine learning.
reviewer1153332 - PeerSpot reviewer
Nov 25, 2020
We have not been able to use deduplication.
Avra Jyoti Ghosh - PeerSpot reviewer
Aug 25, 2022
Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud.
JY
Sep 11, 2019
This solution is no longer managing tapes correctly.
reviewer1755426 - PeerSpot reviewer
May 22, 2023
Lack of sufficient documentation, particularly in Spanish.