No more typing reviews! Try our Samantha, our new voice AI agent.

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
27th
Average Rating
7.8
Reviews Sentiment
5.9
Number of Reviews
9
Ranking in other categories
Hadoop (7th)
Scalr
Ranking in Cloud Management
47th
Average Rating
8.0
Reviews Sentiment
5.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the Cloud Management category, the mindshare of IBM Spectrum Computing is 1.5%, up from 0.9% 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 Mindshare Distribution
ProductMindshare (%)
IBM Spectrum Computing1.5%
Scalr0.8%
Other97.7%
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.
it_user693240 - PeerSpot reviewer
Freelance Contract Software Engineer at a tech vendor
The ability to autoscale based on load is the most valuable feature. I would highly recommend it.
It used to be the ability to autoscale based on load I was able to to deal with requests without needing every server on; I could turn them off. Compatibility with SoftLayer I think was our block. Rackspace was fine, as far as I know. I think I have been using it for a few months. We didn’t…

Quotes from Members

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

Pros

"The most valuable feature is the backup capability."
"This solution is working for both VTL and tape."
"Spectrum Computing is one of the best tools in the data management and services area, as it can process huge amounts of data with standardized data management and provides a great data governance capability."
"This solution worked as expected and it is reliable."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"The best features of IBM Spectrum Computing are common across many of their storage products."
"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."
"I was able to deal with requests without needing every server on; I could turn them off."
 

Cons

"Software sometimes is a little slower. It takes two or three days sometimes."
"This solution is no longer managing tapes correctly."
"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."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"IBM's sales and support structure can be challenging."
"Lack of sufficient documentation, particularly in Spanish."
"This solution is no longer managing tapes correctly."
"We did use AWS autoscaling but Rackspace left something to be desired."
 

Pricing and Cost Advice

"This solution is expensive."
"Spectrum Computing is one of the most expensive products on the market."
Information not available
report
Use our free recommendation engine to learn which Cloud Management solutions are best for your needs.
890,071 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
14%
Construction Company
10%
Outsourcing Company
9%
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...
What needs improvement with Scalr?
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 navigatin...
What is your primary use case for Scalr?
Scalr is used for Terraform automation, policy enforcement, and centralized governance across multiple cloud environments. It is primarily used by DevOps and cloud engineering teams, supporting mul...
What advice do you have for others considering Scalr?
Scalr is a strong choice if someone needs enterprise-grade Terraform governance, but it is essential to plan proper onboarding and policy design upfront. This review has been rated 8 out of 10.
 

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 Nutanix, Broadcom, IBM and others in Cloud Management. Updated: March 2026.
890,071 professionals have used our research since 2012.