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Apptio One vs IBM Turbonomic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 2, 2025

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

Apptio One
Ranking in IT Financial Management
2nd
Ranking in Cloud Cost Management
9th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
3
Ranking in other categories
No ranking in other categories
IBM Turbonomic
Ranking in IT Financial Management
1st
Ranking in Cloud Cost Management
1st
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (3rd), Cloud Management (4th), Virtualization Management Tools (4th), IT Operations Analytics (5th), Cloud Analytics (1st), AIOps (11th)
 

Mindshare comparison

As of February 2026, in the IT Financial Management category, the mindshare of Apptio One is 39.6%, down from 45.7% compared to the previous year. The mindshare of IBM Turbonomic is 18.8%, down from 37.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Financial Management Market Share Distribution
ProductMarket Share (%)
IBM Turbonomic18.8%
Apptio One39.6%
Other41.599999999999994%
IT Financial Management
 

Featured Reviews

Neil Anson - PeerSpot reviewer
Global IT Financial Architect at a manufacturing company with 10,001+ employees
A highly stable and scalable solution that provides good out-of-the-box reporting
I am using the latest version of Apptio One. Apptio One is deployed on-cloud in our organization. Apptio One's maintenance involves validating the model and the monthly data loads. I would recommend Apptio One to other users. Before choosing Apptio One, users should ensure they align their use cases to achieve specific and measurable targets. Overall, I rate Apptio One ten out of ten.
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.

Quotes from Members

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

Pros

"The TBM model and the out-of-the-box reporting are the most valuable features of Apptio One."
"With Apptio One, the advantage lies in its no-code approach, eliminating the need to write scripts for data retrieval."
"Its most significant value lies in its ease of use which extends to both configuration and the subsequent deployment of additional components."
"Rightsizing is valuable. Its recommendations are pretty good."
"The ability to monitor and automate both the right-sizing of VMs as well as to automate the vMotion of VMs across ESXi hosts."
"It helps us get a consolidated view of all customer spending into a single dashboard, allowing us to identify opportunities to improve their current spending."
"We can manage multiple environments using a single pane of glass, which is something that I really like."
"In our organization, optimizing application performance is a continuous process that is beyond human scale. We would not be able to do the number of actions that Turbonomic takes on a daily, weekly, and monthly basis. It is humanly impossible with the little micro adjustments that it can make. That is a huge differentiator. If you just figure each action could take anywhere very conservatively from five to 10 minutes to act upon, then you multiply that out by thousands of actions every month, it is easily something where you could say, "I am saving a couple of FTEs.""
"The automated memory balancing, where it looks at whether it's being used in the most efficient way and adds or takes away memory, is the best part. If it didn't do that, it would be something that I would have to do. We have too many machines for one person to do that. The automation helps me in that it is done in a really efficient way and a balanced way because of the policies. It really helps."
"The most valuable features are the cluster utilization reports and the resource capacity planning. We can simulate how much capacity we can add to the current resources. The individual DM reports and VM-facing recommendations report are also helpful."
"On-premises, one advantage I find particularly appealing is the ability to create policies for automatic CPU and memory scaling based on demand."
 

Cons

"Encouraging or providing more out-of-the-box solutions that cater to a wider audience could enhance the overall effectiveness of the application."
"However, a notable challenge is the requirement to obtain consistent raw data, especially when operating in multiple regions with varying data sets. Each region may have distinct field names or data setups, necessitating the standardization of data before loading it into Apptio One. In Apptio One, there are areas for improvement, particularly in addressing potential bugs. An instance of this is observed when transitioning changes from the development region to the staging or production region. In instances with larger datasets, the calculation process may experience delays. Once the calculation concludes, the process proceeds to the subsequent region, whether it be staging or production."
"The solution's reporting layer, advanced conditional formatting, and reporting features could be improved."
"There are a few things that we did notice. It does kind of seem to run away from itself a little bit. It does seem to have a mind of its own sometimes. It goes out there and just kind of goes crazy. There needs to be something that kind of throttles things back a little bit. I have personally seen where we've been working on things, then pulled servers out of the VMware cluster and found that Turbonomic was still trying to ship resources to and from that node. So, there has to be some kind of throttling or ability for it to not be so buggy in that area. Because we've pulled nodes out of a cluster into maintenance mode, then brought it back up, and it tried to put workloads on that outside of a cluster. There may be something that is available for this, but it seems very kludgy to me."
"There is an opportunity for improvement with some of Turbonomic's permissions internally for role-based access control. We would like the ability to come up with some customized permissions or scope permissions a bit differently than the product provides."
"It sometimes does get false positives. Sometimes, it'll move something when it really wasn't a performance metric. I've seen it do that, but it's pretty much an automated tool for performance. We've only got about 500 virtual machines, so lots of times, I'm able to manage it physically, but it's definitely a nice tool for a larger enterprise that might be managing 2,000 or 3,000 virtual machines."
"It would be nice for them to have a way to do something with physical machines, but I know that is not their strength Thankfully, the majority of our environment is virtual, but it would be nice to see this type of technology across some other platforms. It would be nice to have capacity planning across physical machines."
"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."
"The issue for us with the automation is we are considering starting to do the hot adds, but there are some problems with Windows Server 2019 and hot adds. It is a little buggy. So, if we turn that on with a cluster that has a lot of Windows 2019 Servers, then we would see a blue screen along with a lot of applications as well. Depending on what you are adding, cores or memory, it doesn't necessarily even take advantage of that at that moment. A reboot may be required, and we can't do that until later. So, that decreases the benefit of the real-time. For us, there is a lot of risk with real-time."
"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."
"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."
 

Pricing and Cost Advice

"It comes with a considerable cost."
"Regarding the pricing structure for various products within Apptio, such as APE One or APE One Plus, the cost is intricately tied to the selected license. There are two distinct types of licenses available. Opting for the basic license provides access to APT1, while an alternative license, known as APL One Plus, encompasses additional features like Cloudability and other components. The specific features accessible depend on the chosen license."
"Apptio One is an expensive solution."
"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."
"You should understand the cost of your physical servers and how much time and money you are spending year over year on expanding your virtual farm."
"I consider the pricing to be high."
"I know there have been some issues with the billing, when the numbers were first proposed, as to how much we would save. There was a huge miscommunication on our part. Turbonomic was led to believe that we could optimize our AWS footprint, because we didn't know we couldn't. So, we were promised savings of $750,000. Then, when we came to implement Turbonomic, the developers in AWS said, "Absolutely not. You're not putting that in our environment. We can't scale down anything because they coded it." Our AWS environment is a legacy environment. It has all these old applications, where all the developers who have made it are no longer with the company. Those applications generate a ton of money for us. So, if one breaks, we are really in trouble and they didn't want to have to deal with an environment that was changing and couldn't be supported. That number went from $750,000 to about $450,000. However, that wasn't Turbonomic's fault."
"I have not seen Turbonomic's new pricing since IBM purchased it. When we were looking at it in my previous company before IBM's purchase, it was compatible with other tools."
"I'm not involved in any of the billing, but my understanding is that is fairly expensive."
"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."
"I don't know the current prices, but I like how the licensing is based on the number of instances instead of sockets, clusters, or cores. We have some VMs that are so heavy I can only fit four on one server. It's not cost-effective if we have to pay more for those. When I move around a VM SQL box with 30 cores and a half-terabyte of RAM, I'm not paying for an entire socket and cores where people assume you have at least 10 or 20 VMs on that socket for that pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Government
9%
University
7%
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
9%
Insurance Company
6%
 

Company Size

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

Questions from the Community

Ask a question
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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...
 

Also Known As

No data available
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Nationwide Building Society, State of Washington, Nationwide Building Society, DIRECTV, CME Group, Swiss Re, Cox Automotive
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about Apptio One vs. IBM Turbonomic and other solutions. Updated: January 2026.
881,384 professionals have used our research since 2012.