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BMC Helix Continuous Optimization vs PerfectScale 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

BMC Helix Continuous Optimi...
Ranking in Cloud Cost Management
35th
Average Rating
10.0
Number of Reviews
2
Ranking in other categories
Infrastructure Capacity Planning (1st), IT Operations Analytics (27th)
PerfectScale
Ranking in Cloud Cost Management
22nd
Average Rating
9.4
Reviews Sentiment
1.7
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Cloud Cost Management category, the mindshare of BMC Helix Continuous Optimization is 1.3%, up from 0.5% compared to the previous year. The mindshare of PerfectScale is 1.0%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Market Share Distribution
ProductMarket Share (%)
PerfectScale1.0%
BMC Helix Continuous Optimization1.3%
Other97.7%
Cloud Cost Management
 

Featured Reviews

Appperf677 - PeerSpot reviewer
Application Performance Mnagement Specialist at a insurance company with 5,001-10,000 employees
Enables us to right-size systems to free up resources, and identify performance problems down to the process level
Since I already have a sneak peek into the next releases, I'm very happy about what's going to be included. I would like to see continued support for the legacy parts of the tool, the old, seasoned parts that are very valuable to me. That is a message I continue to give to BMC: All the new stuff's great, but don't take away this really important stuff. That's my biggest fear, that I might lose some of my old functionality that is still extremely valuable. I want to make sure we don't lose any functionality, and that they just still keep delivering on what they're doing. I don't have anything more to ask than what they're offering.
reviewer2750058 - PeerSpot reviewer
DevOps & FinOps Engineer at a tech vendor with 501-1,000 employees
Gain visibility into Kubernetes clusters and optimize resource allocation based on historical data
I think they should focus more on Kubernetes features that allow on-the-fly resource allocation without the need to restart services. They should implement this in their autoscaler to make it more useful in scenarios that require immediate scaling up or down. They should also offer more options for visualizing graphs in different ways, such as tabular views.

Quotes from Members

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

Pros

"The most interesting feature is certainly the simulation of the load using different servers or different KPI parameters of the business."
"Workload characterization is super important because it lets us figure things out. Many people know, for example, that with Microsoft Word, Word.exe is the executable. Everybody knows their executable, but they don't always know what it does. It also launches other things. This tool has the ability and insight to track those things, and to know: "Oh, you wanted this executable, but this one started this, so you must want this, too." And it tells you what it had to add, what it was using or was spawning."
"We ingest a ton of business data. We are an insurance company and we have business data, like how many quotes are done an hour, and how many policies are sold per hour. The correlation engine in the new TrueSight Capacity Optimization components are wonderful. We can do correlation analysis over months of data, and then we run models to tell our business: 'If you do 1,000 more quotes an hour, we're going to have to upgrade, and we're going to need this much more hardware.'"
"The cluster and workload autoscaler gives us the ability to have control over all the workloads' resources instead of managing them one by one."
"PerfectScale made our Kubernetes optimization effortless; it found wasted resources, lowered our cloud costs, and improved performance almost instantly."
"Automated resource optimization using different policies based on the environment enabled the organization to achieve infrastructure cost savings."
 

Cons

"Some of the data management is painful. Some of the new features haven't been implemented in quite the way I would like to get to levels of detail. For example, Visualizer parser doesn't take everything it should out of the Visualizer files. We've had to put in a work-around, but the work-around is not as accurate as what's in the file."
"The memory management of Java application servers should be implemented to be able to size GC and footprint."
"With their in-place optimisations, stateful set optimisation would be a great addition."
"I think they should focus more on Kubernetes features that allow on-the-fly resource allocation without the need to restart services."
 

Pricing and Cost Advice

"Right now, the licensing structure is by server. Everybody is licensed somewhat differently, depending on how big they are, how many licenses they have."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Energy/Utilities Company
12%
Computer Software Company
8%
Healthcare Company
8%
Insurance Company
69%
Healthcare Company
8%
Outsourcing Company
4%
Computer Software Company
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with PerfectScale?
With their in-place optimisations, stateful set optimisation would be a great addition.
 

Also Known As

BMC Capacity Optimization, TrueSight Capacity Optimization, BMC Helix Optimize, BMC Helix Continuous Optimization
No data available
 

Overview

 

Sample Customers

Dilliard's
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Find out what your peers are saying about BMC Helix Continuous Optimization vs. PerfectScale and other solutions. Updated: December 2025.
879,853 professionals have used our research since 2012.