Try our new research platform with insights from 80,000+ expert users

BMC Helix Continuous Optimization vs IBM Turbonomic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 7, 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

BMC Helix Continuous Optimi...
Ranking in IT Operations Analytics
29th
Ranking in Cloud Cost Management
38th
Average Rating
10.0
Number of Reviews
2
Ranking in other categories
Infrastructure Capacity Planning (2nd)
IBM Turbonomic
Ranking in IT Operations Analytics
5th
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 Financial Management (1st), Cloud Analytics (1st), AIOps (11th)
 

Mindshare comparison

As of February 2026, in the IT Operations Analytics category, the mindshare of BMC Helix Continuous Optimization is 1.2%, up from 0.2% compared to the previous year. The mindshare of IBM Turbonomic is 2.0%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Operations Analytics Market Share Distribution
ProductMarket Share (%)
IBM Turbonomic2.0%
BMC Helix Continuous Optimization1.2%
Other96.8%
IT Operations Analytics
 

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.
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

"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 most interesting feature is certainly the simulation of the load using different servers or different KPI parameters of the business."
"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 have VM placement in Automated mode and currently have all other metrics in Recommend mode."
"The most important feature to us is an objective measurement of VM headroom per cluster. In addition, the ability to check for the right-sizing of VMs."
"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."
"I like Turbonomic's automation and AI machine learning features. It shows you what it can do, but it can also act on recommendations automatically. Integration with an APM system makes the AI/ML features truly effective. Understanding what the application is doing and the trends of application behavior can help you make real-world decisions and act on that information."
"The system automatically sizes and moves resources based on the needs of the applications."
"It became obvious to us that there was a lot more being offered in the product that we could leverage to ensure our VMware environment was running efficiently."
"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.'"
 

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."
"While the product is fairly intuitive and easy to use once you learn it, it can be quite daunting until you have undergone a bit of training."
"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."
"The GUI and policy creation have room for improvement. There should be a better view of some of the numbers that are provided and easier to access. And policy creation should have it easier to identify groups."
"They have a long road map when we ask for certain things that will make the product better. It takes time, but that's understandable because there are other things that are higher on the priority list."
"Recovering resources when they're not needed is not as optimized as it could be."
"We don't use Turbonomic for FinOps and part of the reason is its cost reporting. The reporting could be much more robust and, if that were the case, I could pitch it for FinOps."
"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."
"In Azure, it's not what you're using. You purchase the whole 8 TB disk and you pay for it. It doesn't matter how much you're using. So something that I've asked for from Turbonomic is recommendations based on disk utilization. In the example of the 8 TB disk where only 200 GBs are being used, based on the history, there should be a recommendation like, "You can safely use a 500 GB disk." That would create a lot of savings."
 

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."
"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."
"What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."
"It's worth the time and money investment if you can afford it."
"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 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."
"Everybody tells me the pricing is high. But the ROIs are great."
"The product is fairly priced right now. Given its capabilities, it is excellently priced. We think that the product will become self-funding because we will be able to maximize our resources, which will help us from a capacity perspective. That should save us money in the long run."
report
Use our free recommendation engine to learn which IT Operations Analytics solutions are best for your needs.
881,733 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
26%
Energy/Utilities Company
13%
Healthcare Company
8%
Computer Software Company
6%
Financial Services Firm
10%
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
Earn 20 points
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

BMC Capacity Optimization, TrueSight Capacity Optimization, BMC Helix Optimize, BMC Helix Continuous Optimization
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Dilliard's
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about BMC Helix Continuous Optimization vs. IBM Turbonomic and other solutions. Updated: January 2026.
881,733 professionals have used our research since 2012.