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IBM Spectrum Computing vs OpenText Cloud Service Automation comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

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
7.8
Reviews Sentiment
5.9
Number of Reviews
9
Ranking in other categories
Hadoop (7th)
OpenText Cloud Service Auto...
Ranking in Cloud Management
40th
Average Rating
9.0
Reviews Sentiment
7.1
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Cloud Management category, the mindshare of IBM Spectrum Computing is 1.5%, up from 0.8% compared to the previous year. The mindshare of OpenText Cloud Service Automation is 1.2%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management Mindshare Distribution
ProductMindshare (%)
IBM Spectrum Computing1.5%
OpenText Cloud Service Automation1.2%
Other97.3%
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.
SunpritSingh - PeerSpot reviewer
Test Lead at a tech services company with 10,001+ employees
A user friendly solution that makes it easy to submit and view jobs
The most valuable feature of Micro Focus Cloud Service is how user-friendly the solution is. Traditionally, when we use a mainframe system to submit jobs, we have to see the spool or any error we might get in the spool. It is very command-based and uses a green screen, which is not user-friendly. Micro Focus enterprise makes it easy to submit and view jobs. We just have to log into the particular portal, go to the catalog and view any files we want. The same can be said about submitting jobs. We know what JCL we want to submit, give it the path, and then submit it with no command required. It is very user-friendly.

Quotes from Members

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

Pros

"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"We are satisfied with the technical support, we have no issues."
"This solution is working for both VTL and tape."
"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."
"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."
"The most valuable feature is the backup capability."
"The tool's most valuable feature is life cycle management."
"The most valuable feature of Micro Focus Cloud Service is how user friendly the solution is."
"The ability to tie the pieces together, supporting multiple providers across both HPE and non-HPE products, is crucial in a heterogeneous environment composed of many different commercial and in-house developed components."
"We really look at infrastructure as a service as the major trend in IT, at least for a service provider like us, for the next 3 to 4 years, so we really want to have a precise, clearly defined, but very dynamic and flexible private cloud where we can easily provision and deploy infrastructure as a service to our end customers."
 

Cons

"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."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
"We'd like to see some AI model training for machine learning."
"The deduplication software isn't quite up to speed with the market."
"This solution is no longer managing tapes correctly."
"We have not been able to use deduplication."
"I would like fewer restrictions as a software tester."
"Deployment has been extremely painful for the production environment. This was mostly due to the decision to use our internal Microsoft-based Certificate Authority (CA)."
"I haven't found very user friendly things, some are a little tricky."
"OpenText Cloud Service Automation needs to incorporate easier installation. It should improve skills and quality of support."
 

Pricing and Cost Advice

"This solution is expensive."
"Spectrum Computing is one of the most expensive products on the market."
"OpenText Cloud Service Automation's pricing is average."
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Top Industries

By visitors reading reviews
Manufacturing Company
18%
Financial Services Firm
14%
Outsourcing Company
11%
Transportation Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business1
Large Enterprise6
 

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
Micro Focus Cloud Service Automation, Cloud Service Automation Manager, HPE Cloud Service Automation
 

Overview

 

Sample Customers

London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
China Merchants Bank, Osiatis
Find out what your peers are saying about IBM Spectrum Computing vs. OpenText Cloud Service Automation and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.