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IBM Turbonomic 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

IBM Turbonomic
Ranking in Cloud Cost Management
1st
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (6th), Cloud Management (5th), Virtualization Management Tools (4th), IT Financial Management (1st), IT Operations Analytics (5th), Cloud Analytics (1st), AIOps (11th)
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 IBM Turbonomic is 6.2%, down from 14.4% 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 (%)
IBM Turbonomic6.2%
PerfectScale1.0%
Other92.8%
Cloud Cost Management
 

Featured Reviews

Dan Ambrose - PeerSpot reviewer
Infrastructure Engineer 4 at a tech vendor with 1,001-5,000 employees
Helps visibility, bridges the data gap, and frees up time
We use IBM Turbonomic in a hybrid cloud environment. Although it supports multi-cloud capabilities, we currently operate in a single-cloud setting. Turbonomic offers visibility into our environment's performance, spanning across applications, underlying infrastructure, and protection resources. The visibility and analytics help to bridge the data gap between disparate IT teams such as applications and infrastructure. This is important for awareness collaboration, cost saving, and helping to design and improve our application. Enhanced visibility and data analytics have contributed to a significant reduction in our mean time to resolve. Tools like Turbonomic provide crucial visualization and insights, empowering us to make data-driven decisions instead of relying on assumptions as we did before. This newfound transparency translates to a massive improvement, going from complete darkness to having a clear 100 percent view of the situation. Although our applications are not optimized for the cloud we have seen some improvement in response time. IBM Turbonomic empowers us to achieve more with fewer people thanks to automation. Previously, customers frequently contacted us requesting resource increases to resolve issues. Now, we have a tool that allows us to objectively assess their needs, leading to a deeper understanding of our applications. This solution also generates significant cost savings in the cloud and optimizes hardware utilization within our data centers. Its AI algorithm intelligently allocates servers on hosts, maximizing efficiency without compromising performance. By fine-tuning resource allocation without causing performance bottlenecks, Turbonomic extends the lifespan of existing hardware, postponing the need for new purchases. This effectively stretches our capital expenditure budget. We started to see the benefits of IBM Turbonomic within the first 60 days. IBM is a fantastic partner. Their tech support has been outstanding, and the product itself is excellent - a very solid offering. By automating resource management with Turbonomic, our engineers are freed up to focus on more strategic initiatives like innovation and ongoing organizational projects. Previously, manually adding resources was a time-consuming process that interrupted workflows. Now, automation handles scaling efficiently, saving us thousands of man-hours and significant costs. It has illuminated the need for SetOps. It has highlighted areas of overspending, and the actions we've taken have demonstrated significant cost savings. IBM Turbonomic has positively impacted our overall application performance. IBM Turbonomic has helped reduce both CAPEX and OPEX. It has also significantly reduced cloud build times.
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 feature for optimizing VMs is the most valuable because a number of the agencies have workloads or VMs that are not really being used. Turbonomic enables us to say, 'If you combine these, or if you decide to go with a reserve instance, you will save this much.'"
"Turbonomic helps us right-size virtual machines to utilize the available infrastructure components available and suggest where resources should exist. We also use the predictive tool to forecast what will happen when we add additional compute-demanding virtual machines or something to the environment. It shows us how that would impact existing resources. All of that frees up time that would otherwise be spent on manual calculation."
"I like Turbonomic's built-in reporting. It provides a ton of information out of the box, so I don't have to build panels for the monthly summaries and other reports I need to present to management. We get better performance and bottleneck reporting from this than we do from our older EMC software."
"The ability to monitor and automate both the right-sizing of VMs as well as to automate the vMotion of VMs across ESXi hosts."
"My favorite part of the solution is the automation scheduling. Being able to choose when actions happen, and how they happen..."
"It has automated a lot of things. We have saved 30 to 35 percent in human resource time and cost, which is pretty substantial. We don't have a big workforce here, so we have to use all the automation we can get."
"The primary features we have focused on are reporting and optimization."
"Rightsizing is valuable. Its recommendations are pretty good."
"PerfectScale made our Kubernetes optimization effortless; it found wasted resources, lowered our cloud costs, and improved performance almost instantly."
"The cluster and workload autoscaler gives us the ability to have control over all the workloads' resources instead of managing them one by one."
"Automated resource optimization using different policies based on the environment enabled the organization to achieve infrastructure cost savings."
 

Cons

"Since the introduction of a HTML 5 based interface, our main - but minor - criticism of a less than intuitive operation managers' GUI would be the area of improvement."
"If they would educate their customers to understand the latest updates, that would help customers... Also, there are a lot of features that are not available in Turbonomic. For example, PaaS component optimization and automation are still in the development phase."
"After running this solution in production for a year, we may want a more granular approach to how we utilize the product because we are planning to use some of its metrics to feed into our financial system."
"Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."
"We're still evaluating the solution, so I don't know enough about what I don't know. They've done a lot over the years. I used Turbonomics six or seven years ago before IBM bought them. They've matured a lot since then."
"I would like Turbonomic to add more services, especially in the cloud area. I have already told them this. They can add Azure NetApp Files. They can add Azure Blob storage. They have already added Azure App service, but they can do more."
"It can be more agnostic in terms of the solutions that it provides. It can include some other cost-saving methods for the public cloud and SaaS applications as well."
"The implementation could be enhanced."
"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

"IBM Turbonomic is an investment that we believe will deliver positive returns."
"I consider the pricing to be high."
"It's worth the time and money investment if you can afford it."
"We felt the pricing was very fair for the product. It is in no way prohibitive for larger deployments, unlike other similar product on the market."
"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."
"Price is a big one. VMTurbo was very competitively priced."
"What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."
"If you're a super-small business, it may be a little bit pricey for you... But in large, enterprise companies where money is, maybe, less of an issue, Turbonomic is not that expensive. I can't imagine why any big company would not buy it, for what it does."
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Top Industries

By visitors reading reviews
Computer Software Company
11%
Financial Services Firm
11%
Manufacturing Company
9%
Insurance Company
7%
Insurance Company
69%
Healthcare Company
8%
Outsourcing Company
4%
Computer Software Company
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business41
Midsize Enterprise57
Large Enterprise147
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Turbonomic?
It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is set as a percentage of the consumption of some of our customers' services. The ...
What needs improvement with Turbonomic?
The implementation could be enhanced.
What is your primary use case for Turbonomic?
We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting. This helps us get a consolidated view of all customer spending into a single d...
What needs improvement with PerfectScale?
With their in-place optimisations, stateful set optimisation would be a great addition.
 

Also Known As

Turbonomic, VMTurbo Operations Manager
No data available
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Information Not Available
Find out what your peers are saying about IBM Turbonomic vs. PerfectScale and other solutions. Updated: December 2025.
879,853 professionals have used our research since 2012.