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IBM Turbonomic vs nOps comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

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 Management
4th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (2nd), Virtualization Management Tools (3rd), IT Financial Management (3rd), IT Operations Analytics (9th), Cloud Analytics (1st), Cloud Cost Management (3rd), AIOps (18th)
nOps
Ranking in Cloud Management
16th
Average Rating
9.4
Reviews Sentiment
4.4
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Cloud Management category, the mindshare of IBM Turbonomic is 4.7%, up from 4.6% compared to the previous year. The mindshare of nOps is 0.9%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management Mindshare Distribution
ProductMindshare (%)
IBM Turbonomic4.7%
nOps0.9%
Other94.4%
Cloud 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.
Tom Weeks - PeerSpot reviewer
Sr. Director of Engineering at a computer software company with 201-500 employees
Automates savings plan management and improves cost visibility while reducing cloud infrastructure needs
I find it to be a valuable cost-savings tool. Its best features include several things: first, it is hands-off, so I can set it and forget it. I get it set up, and it manages AWS savings plans on my behalf. This frees my team up to work on more valuable work without losing out on valuable discounts. It also provides a dashboard with more detailed insights into cost and AWS cloud costs than what comes out of the box with AWS Cost Explorer. Third, the nOps Kubernetes agent automatically resizes pods based on usage, which allows us to run significantly fewer EC2 instances than we would otherwise. nOps has positively impacted my organization by saving both time and money.

Quotes from Members

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

Pros

"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."
"We really take advantage of the PLAN feature, as forecasting and planning resources is imperative for effective and efficient operations management."
"Turbonomic has been excellent in keeping us running smoothly."
"Turbonomic has helped optimize cloud operations and reduced our cloud costs significantly. Overall, we are at about 40 percent savings, and we spend about three million a year just in Azure. It reduces the size of the VMs, putting them into the right template for usage. People don't realize that you don't have to future-proof a virtual machine in Azure. You just need to build it for today. As the business or service grows, you can scale up or out. About 90 percent of all the costs that we've reduced has been from sizing machines appropriately."
"The ability to monitor and automate both the right-sizing of VMs as well as to automate the vMotion of VMs across ESXi hosts."
"Before implementing Turbonomic, we had difficulty reaching a consensus about VM placement and sizing. Everybody's opinion was wrong, including mine. The application developers, implementers, and infrastructure team could never decide the appropriate size of a virtual machine. I always made the machines small, and they always made them too big. We were both probably wrong."
"Great product and we use it extensively, from setting up VMturbo to load balance our VM's across a cluster, implementing right sizing recommendations, policy rules, memory/storage and CPU trends and plans for future projections in order to determine how we can reduce our hardware and licensing footprints."
"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 solution provides actionable reporting and cost-saving recommendations."
"nOps has positively impacted my organization by saving significant costs because we run many instances and shifted from on-demand to Spot, which resulted in substantial savings."
"I find it to be a valuable cost-savings tool; its best features include several things: first, it is hands-off, so I can set it and forget it, and it manages AWS savings plans on my behalf, freeing my team up to work on more valuable work without losing out on valuable discounts."
"One customer saved 35 percent on their cloud bill, which is pretty significant."
"nOps smoothly integrated with our AWS infrastructure and achieved significant savings without much intervention from our internal team."
"Since making this shift, we have seen a twenty to thirty percent reduction in the total AWS compute expenditure, which represents a significant win for us."
 

Cons

"Regular upgrades and patching requires a period of getting used to the new environment before getting hands-on with the tool."
"We would like to see more integration with storage platforms."
"There is an area where new workloads can be created and placed. I've had trouble with that feature and find it easier to create new machines directly in vCenter and let it get the address by Turbonomic after the fact."
"The automation area could be improved, and the generic reports are poor. We want more details in the analysis report from the application layer. The reports from the infrastructure layer are satisfactory, but Turbonomic won't provide much information if we dig down further than the application layer."
"I like the detail I get in the old user interface and will miss some of that in the new interface when we perform our planned upgrade soon."
"The user interface has room for improvement, but it is well on its way with the new UI that is being developed."
"Personally, I find the interface, especially for a new user, to be less than user friendly."
"GUI is ugly."
"I suggest improving the heat map capability with the option to use showback values as the x and y-axis."
"At the same price currently offered, there should be lower percentages for some other packages because the service is currently offered at a very high cost percentage."
"However, it misses a perfect score because multi-cloud feature parity is still catching up to its gold-standard AWS toolset."
"From the features, I would like to see RDS RIs and maybe better visibility on how the engine is deciding whether to use spot or on demand, to replace the instance or not"
"The customer support is lacking but still pretty good."
 

Pricing and Cost Advice

"The pricing and licensing are fair. We purchase based on benchmark pricing, which we have been able to get. There are no surprise charges nor hidden fees."
"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."
"It is an endpoint type license, which is fine. It is not overly expensive."
"When we have expanded our licensing, it has always been easy to make an ROI-based decision. So, it's reasonably priced. We would like to have it cheaper, but we get more benefit from it than we pay for it. At the end of the day, that's all you can hope for."
"In the last year, Turbonomic has reduced our cloud costs by $94,000."
"It was an annual buy-in. You basically purchase it based on your host type stuff. The buy-in was about 20K, and the annual maintenance is about $3,000 a year."
"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
13%
Manufacturing Company
8%
Construction Company
7%
Computer Software Company
7%
Construction Company
20%
Comms Service Provider
18%
Manufacturing Company
14%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise57
Large Enterprise147
No data available
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for nOps?
I did not purchase nOps through the AWS Marketplace because it is open source.
What needs improvement with nOps?
I believe nOps can be improved because in the era of AI, this tool is likely to experience reduced usage. They should offer AI-based innovations that help improve customers and assist them with the...
What is your primary use case for nOps?
My main use case for nOps is reducing costs on AWS spending and ensuring that workloads are running at minimum cost.I can provide a specific example of how I have used nOps to reduce costs and opti...
 

Comparisons

 

Also Known As

Turbonomic, VMTurbo Operations Manager
nOps - Cloud Optimization Platform
 

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. nOps and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.