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IBM Spectrum Computing vs Scalr comparison

 

Comparison Buyer's Guide

Executive Summary

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)
Scalr
Ranking in Cloud Management
34th
Average Rating
8.0
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

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 Scalr is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management Market Share Distribution
ProductMarket Share (%)
IBM Spectrum Computing1.2%
Scalr0.8%
Other98.0%
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.
RA
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
Enterprise governance has transformed how we automate terraform and manage policy as code
Scalr's UI and documentation could be more intuitive, especially for first-time users. During onboarding, I identified the need for improved documentation, especially for first-time users navigating various challenges, which has led to some struggles in finding the right answers in the documentation. Better search capabilities and more comprehensive documentation that is easy to navigate would be beneficial.

Quotes from Members

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

Pros

"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."
"This solution is working for both VTL and tape."
"The most valuable feature is the backup capability."
"We are satisfied with the technical support, we have no issues."
"Easy to operate and use."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"I have utilized IBM Spectrum Computing's intelligent workload management feature through Insights, which is connected to the cloud."
"Scalr has helped bring consistency and governance to our workflows, especially at scale, and it is a strong product."
 

Cons

"This solution is no longer managing tapes correctly."
"IBM's sales and support structure can be challenging."
"We have not been able to use deduplication."
"Lack of sufficient documentation, particularly in Spanish."
"We'd like to see some AI model training for machine learning."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"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."
"Scalr's UI and documentation could be more intuitive, especially for first-time users."
 

Pricing and Cost Advice

"This solution is expensive."
"Spectrum Computing is one of the most expensive products on the market."
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%
No data available
 

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...
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Also Known As

IBM Platform Computing
No data available
 

Overview

 

Sample Customers

London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
JPL, Expedia, Samsung, Acxiom, Accenture, Sony, Merkle, Autodesk
Find out what your peers are saying about IBM Spectrum Computing vs. Scalr and other solutions. Updated: January 2026.
879,768 professionals have used our research since 2012.