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IBM Spectrum Computing vs Spot by Flexera comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 19, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Spectrum Computing
Ranking in Cloud Management
28th
Average Rating
8.2
Reviews Sentiment
5.9
Number of Reviews
9
Ranking in other categories
Hadoop (6th)
Spot by Flexera
Ranking in Cloud Management
23rd
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Server Virtualization Software (14th), Cloud Operations Analytics (1st), Cloud Analytics (2nd), Compute Service (9th), Containers as a Service (CaaS) (4th), Cloud Cost Management (5th)
 

Mindshare comparison

As of January 2026, in the Cloud Management category, the mindshare of IBM Spectrum Computing is 1.2%, up from 0.7% compared to the previous year. The mindshare of Spot by Flexera is 1.7%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management Market Share Distribution
ProductMarket Share (%)
Spot1.7%
IBM Spectrum Computing1.2%
Other97.1%
Cloud Management
 

Featured Reviews

OmarIsmail1 - PeerSpot reviewer
Infrastructure Technical Specialist II at Clicks Group
Senior Technical Specialist appreciates intelligent workload management, strong support, and scalability
The best features of IBM Spectrum Computing are common across many of their storage products. The software is solid, meaning that the code is stable. They take business seriously, which is what IBM stands for - International Business Machines. They always maintain a business-oriented approach in their software development. It's not simply clicking through interfaces; in IBM software, they consider their actions, process flows, and workflows around business processes. It requires understanding IBM and their methodology, as the software operates accordingly. I have utilized IBM Spectrum Computing's intelligent workload management feature. We use Insights, which is connected to the cloud. This provides AI capabilities for analyzing the configuration, offering smart recommendations on new code, warning about bugs in current code, and suggesting configuration improvements through its advisor tool. The predictive analytics feature in IBM Spectrum Computing enables optimal software performance through Insights. However, being a storage administrator requires foundational knowledge and understanding beyond these tools. For troubleshooting, it's efficient in spotting bottlenecks, but understanding the terms and metrics is essential as it provides answers that need interpretation.
KS
Dev Ops Engineer at a construction company with 11-50 employees
Intelligent autoscaling has cut compute costs and now manages ephemeral workloads efficiently
I think overall Spot is quite good. The UI is powerful, but it can feel a bit dense for some new users. More guided onboarding would help teams adopt advanced features faster, and deeper insights into Kubernetes resource usage would be beneficial. Overall, it is a really good platform that is quite mature and stable. I chose a rating of nine because it may sometimes be a bit overwhelming for newcomers, and there are also a few areas in which the EKS Kubernetes level granularity is a little missing. Overall, I think Spot is a really good and stable tool.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"This solution is working for both VTL and tape."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"The most valuable feature is the backup capability."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"I have utilized IBM Spectrum Computing's intelligent workload management feature through Insights, which is connected to the cloud."
"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."
"Easy to operate and use."
"We are satisfied with the technical support, we have no issues."
"The solution offers both block access and file access, making it a nice solution for customers."
"Spot has positively impacted our organization by automating cloud resource management, which has significantly cut costs and improved efficiency."
"The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."
"Cost saving is the main benefit, and the manual effort required for reviewing and purchasing savings plans and other RIs is something we do not have to manage manually now, as we get automatic suggestions from Spot."
"My compute costs have reduced, capacity and production output have increased, and my overhead for maintaining custom scripts or doing some of the tasks manually has been saved."
 

Cons

"This solution is no longer managing tapes correctly."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
"The deduplication software isn't quite up to speed with the market. While IBM has excellent compression technology, specifically on their FlashCore modules, they lag behind competitors such as NetApp in deduplication capabilities."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"We have not been able to use deduplication."
"The deduplication software isn't quite up to speed with the market."
"We'd like to see some AI model training for machine learning."
"IBM's sales and support structure can be challenging."
"There are no particular areas for improvement I can identify."
"The solution doesn't have support from OCI, and it should start working to onboard OCI."
"I have not seen a return on investment yet."
 

Pricing and Cost Advice

"Spectrum Computing is one of the most expensive products on the market."
"This solution is expensive."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
16%
Transportation Company
8%
Performing Arts
8%
Manufacturing Company
19%
Computer Software Company
16%
Healthcare Company
7%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise6
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Spectrum Computing?
IBM Spectrum Computing consistently offers competitive pricing. When solutioning new implementations, IBM always presents the best solution and price. In a recent comparison with Pure Storage and N...
What needs improvement with IBM Spectrum Computing?
IBM Spectrum Computing had limitations with remote copy services between head office and disaster recovery sites. In the last year, IBM has improved the code by re-engineering it to policy-based re...
What is your primary use case for IBM Spectrum Computing?
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 perf...
What do you like most about Spot Ocean?
The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow.
What needs improvement with Spot Ocean?
Spot can be improved by adding deeper multi-cloud integrations, enhancing real-time security automation, and continuously making advancements based on customer feedback.
What is your primary use case for Spot Ocean?
I have been using Spot for five years. My main use case for Spot is cloud optimization.We use Spot for optimization by leveraging real-time optimization as well as auto-optimization. The company al...
 

Also Known As

IBM Platform Computing
Spot Ocean, Spot Elastigroup, Spot Eco
 

Overview

 

Sample Customers

London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
Freshworks, Zalando, Red Spark, News, Trax, ETAS, Demandbase, BeesWa, Duolingo, intel, IBM, N26, Wix, EyeEm, moovit, SAMSUNG, News UK, ticketmaster
Find out what your peers are saying about IBM Spectrum Computing vs. Spot by Flexera and other solutions. Updated: December 2025.
880,511 professionals have used our research since 2012.