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IBM Platform Computing LSF vs IBM PowerHA System Mirror 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 Platform Computing LSF
Ranking in High Availability Clustering
9th
Average Rating
0.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
IBM PowerHA System Mirror
Ranking in High Availability Clustering
5th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the High Availability Clustering category, the mindshare of IBM Platform Computing LSF is 9.2%, up from 2.2% compared to the previous year. The mindshare of IBM PowerHA System Mirror is 10.4%, up from 9.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
High Availability Clustering Mindshare Distribution
ProductMindshare (%)
IBM PowerHA System Mirror10.4%
IBM Platform Computing LSF9.2%
Other80.4%
High Availability Clustering
 

Featured Reviews

it_user371841 - PeerSpot reviewer
System Administratora at a manufacturing company with 1,001-5,000 employees
I think the most valuable feature is the service-level agreement.
I think the most valuable feature is the service-level agreement It's made us operate our business more efficiently. We're able to function with greater cost efficiently utilization of IT resources. Intensive testing is required before version/product release as there are many bugs and other…
HP
Senior Infrastructure Solutions Architect at Wysetek Systems Technologists Pvt. Ltd.
During failovers or site switches it integrates the storage and ensures the transition of your applications
In terms of interoperability and compatibility, every time new applications and database levels are released, a thorough compatibility check is conducted in PowerHA. IBM consistently ensures compatibility, especially in the open systems environment and within the Unix platform, where software compatibility challenges are prevalent. Regarding components controlled under PowerHA, IBM occasionally must address compatibility issues by providing fixes and releases. Despite this, the product exhibits stability. However, the main issue arises when components are updated, requiring IBM to release corresponding fixes. This process may take some time, but it is routinely addressed. Regarding product stability, PowerHA is generally reliable, with the only notable challenge being the need for fixes during component updates. It would be beneficial if the software had options for controlling and implementing an active-active setup, although PowerHA is primarily designed for active-passive configurations.

Quotes from Members

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

Pros

"It’s an excellent tool if you want to effectively use resources (servers/CPU/cores/memory)."
"If there's no activation dependency in your organization, I would go for this solution as you can have one server with multiple virtualizations, which will give you a big ROI in the long run."
"The most valuable features are that it's robust and reliable and that the CP memory can be updated in runtime."
 

Cons

"Intensive testing is required before version/product release as there are many bugs and other issues."
"The initial setup could be simpler."
 

Pricing and Cost Advice

Information not available
"IBM doesn't publish its prices, so it's hard to compare its pricing to know how costly it is."
report
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Also Known As

Platform Computing LSF
PowerHA System Mirror
 

Overview

 

Sample Customers

Cypress Semiconductor, Platform RTM, HPC, Genomic, Wellcome Trust Sanger Institute, A*STAR
Royal Arctic Line, Wªrth Group, Balluff, Al Mansour Holding Company, Baptist Health of Northeast Florida, Robert Wood Johnson University Hospital, Fashion Institute of Design & Merchandising, SAIC FIAT Powertrain Hongyan, Vishay
Find out what your peers are saying about InfoScale, Microsoft, Linbit and others in High Availability Clustering. Updated: June 2026.
900,228 professionals have used our research since 2012.