IBM Turbonomic vs OpenNebula comparison

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IBM Turbonomic

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Executive SummaryUpdated on Dec 17, 2024

IBM Turbonomic and OpenNebula compete in the cloud management and optimization software category. IBM Turbonomic seems to have the upper hand due to its strong automation and optimization features.

Features: IBM Turbonomic is notable for its automation and optimization capabilities, particularly in capacity management, forecasting, and real-time resource allocation. OpenNebula is recognized for its user-friendly interface, deployment flexibility, and a robust API that supports customization.

Room for Improvement: IBM Turbonomic could benefit from a more intuitive interface and enhanced reporting features. Users of OpenNebula express a need for better-organized documentation, advanced cloud features, and improved template management.

Ease of Deployment and Customer Service: IBM Turbonomic supports both on-premises and hybrid cloud environments, with high customer service ratings. OpenNebula offers flexibility for private and public cloud deployments and provides excellent community support.

Pricing and ROI: IBM Turbonomic is cost-effective, often yielding significant operational savings. OpenNebula's open-source model offers substantial cost benefits, especially for small to medium-scale environments.

To learn more, read our detailed IBM Turbonomic vs. OpenNebula Report (Updated: February 2026).

IBM Turbonomic vs. OpenNebula

February 2026

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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 (3rd), Virtualization Management Tools (4th), IT Financial Management (1st), IT Operations Analytics (5th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (11th)

OpenNebula

Ranking in Cloud Management

9th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Cloud Management category, the mindshare of IBM Turbonomic is 4.0%, down from 5.6% compared to the previous year. The mindshare of OpenNebula is 2.9%, down from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management Market Share Distribution
Product	Market Share (%)
IBM Turbonomic	4.0%
OpenNebula	2.9%
Other	93.1%

Cloud Management

Featured Reviews

Dan Ambrose

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.

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FOURES Jean-Philippe

Products Manager at a tech services company with 501-1,000 employees

Reliable, simple to manage, and offers great technical support

The support of VXLAN fits with our network management. Thanks to this we can propose mixed solutions using virtual resources on OpenNebula and bare metal servers hosted in our facilities linked to each other on the sale network. This use case is very useful when some applications need bare metal power (Kubernetes workers, huge databases, AI models computations, et cetera). The cluster management is very useful for splitting our different clusters (mutual vs dedicated). We can manage deployments and capacity planning without pain. The API is also really simple and it helped us to develop the Terraform provider to manage OpenNebula like any other cloud infrastructure.

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Quotes from Members

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

Pros

"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."

"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."

"My favorite part of the solution is the automation scheduling. Being able to choose when actions happen, and how they happen..."

"Turbonomic can show us if we're not using some of our storage volumes efficiently in AWS. For example, if we've over-provisioned one of our virtual machines to have dedicated IOPs that it doesn't need, Turbonomic will detect that and tell us."

"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."

"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."

"The automation and orchestration components are definitely the best part, as you can tell it what it can do and when, and just let it be."

"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."

More IBM Turbonomic pros

"OpenNebula is lightweight, stable, and easy to customize."

"The service feature appeals most to us, thus it is the most valuable."

"The ability to use it almost like a public cloud for an organization is a big asset, as it will create a value proposition and can control costs in a great way."

"It is quite easy to deploy."

"The most valuable feature of OpenNebula is that it scales very well."

"I also like the ability to build custom functions. I can define a function where I have two types of views and configure the dependencies. The virtual data centers concept allows me to define users. If a user wants to join certain kinds of machines, the host and the other user won't see them. It gives me the flexibility to define multiple views and data centers in one place."

"With a single click, we could set things up and initiate them."

"It's easy to integrate OpenNebula with our IT systems."

More OpenNebula pros

Cons

"I would love to see Turbonomic analyze backup data. We have had people in the past put servers into daily full backups with seven-year retention and where the disk size is two terabytes. So, every single day, there is a two terabyte snapshot put into a Blob somewhere. I would love to see Turbonomic say, "Here are all your backups along with the age of them," to help us manage the savings by not having us spend so much on the storage in Azure. That would be huge."

"Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."

"They could add a few more reports. They could also be a bit more granular. While they have reports, sometimes it is hard to figure out what you are looking for just by looking at the date."

"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."

"The reporting needs to be improved. It's important for us to know and be able to look back on what happened and why certain decisions were made, and we want to use a custom report for this."

"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."

"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."

"Turbonomic doesn't do storage placement how I would prefer. We use multiple shared storage volumes on VMware, so I don't have one big disk. I have lots of disks that I can place VMs on, and that consumes IOPS from the disk subsystem. We were getting recommendations to provision a new volume."

More IBM Turbonomic cons

"Most of the competitors are offering some sort of billing software to transform their installation to work as a small-sized public cloud, but those offerings from OpenNebula are still missing."

"As with all enterprise software licensing, the pricing is not intuitive and must be negotiated; grandfathered contracts are better than anything offered today."

"The protocol for clusterization is rough and doesn't work well."

"It should have a simple REST API like most other tools. It's the industry standard format. An XML-RPC API gives you an XML document that you have to convert and then do something with that. REST API endpoint provides outputs in a JSON document. I would also like to see support for user data or heat templates, which OpenStack offers, but OpenNebula doesn't have this yet."

"An area for improvement in OpenNebula is the number of features it has. The solution doesn't have that many cloud features compared to other solutions. You'd say, "Okay, simplicity over a rich feature list?" Some say, "No, I need a big machine or a cloud interface for my customers to manage resources. I don't have to go and do it for them." Some people do it that way, and it works, but I'd like to improve the limited features in OpenNebula."

"The front-facing API can be improved to support lots of requests when the platform is huge with lots of virtual resources."

"The UI, monitoring, and alerting could benefit from further improvements."

"There are small things that are hard. For example, making sure that it is going to be installable on public clouds."

More OpenNebula cons

Pricing and Cost Advice

"I'm not involved in any of the billing, but my understanding is that is fairly expensive."

"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."

"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 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."

"Price is a big one. VMTurbo was very competitively priced."

"It is an endpoint type license, which is fine. It is not overly expensive."

"Contact the Turbonomic sales team, explain your needs and what you're looking to monitor. They will get a pre-sales SE on the phone and together work up a very accurate quote."

"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."

More IBM Turbonomic pricing and cost advice

"OpenNebula gives good value for money."

"We use the Community Edition, rather than the Enterprise Edition."

"OpenNebuoa has recently come up with a new subscription model that is economical and a lot of new customers are choosing this as it is an easy subscription model."

"The solution is open source so is free."

"The licensing for OpenNebula used to be free, but now it's no longer free. A customer contacted me asking to move to another provider because of the changes in the licensing terms for OpenNebula. I have no information on how much the OpenNebula license is because the customer pays for it, and I only do the integration."

"VRA is very expensive but OpenNebula is free."

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

Computer Software Company

10%

Manufacturing Company

Insurance Company

Computer Software Company

13%

Financial Services Firm

10%

University

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	41
Midsize Enterprise	57
Large Enterprise	147

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	6
Large Enterprise	3

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 OpenNebula?

The web interface could be better. It's not very difficult to use, but there's room for enhancement. Another area for improvement is the integration with hardware to manage the lower layer of the n...

What is your primary use case for OpenNebula?

Previously, we were using VMware, but recently, we've started using OpenNebula for cloud management. As a big cloud provider, it helps give customers increased control over their clusters. We use L...

What advice do you have for others considering OpenNebula?

I recommend it, especially if you need a management interface for a small to medium private cloud. I would rate OpenNebula an eight out of ten.

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Product Reports

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IBM Turbonomic

January 2026

Download OpenNebula product report

January 2026

Also Known As

Turbonomic, VMTurbo Operations Manager

No data available

Interactive Demo

IBM

Demo not available

Overview

IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.

IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.

What are the key features of IBM Turbonomic?

Automation: Automates workload placement and dynamic resource allocation to boost efficiency.
Capacity Planning: Provides scenario analysis and right-sizing for optimal resource use.
Customizable Dashboard: Offers tailored insights for organization needs.
Forecasting: Enhances decision-making through resource-use predictions.
Simulation Capabilities: Aids in assessing savings and performance gains.

What benefits and ROI should be evaluated?

Cost Optimization: Reduces spending on cloud and hardware resources.
Enhanced Performance: Promotes consistent application performance and resource efficiency.
Improved Decision-Making: Supports informed choices with scenario simulation.
Flexibility and Scalability: Assists with workload migrations and resource management across environments.

IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.

IBM

OpenNebula provides the most simple but feature-rich and flexible solution for the comprehensive management of virtualized data centers to enable private, public and hybrid IaaS clouds. OpenNebula interoperability makes cloud an evolution by leveraging existing IT assets, protecting your investments, and avoiding vendor lock-in.

OpenNebula is a turnkey enterprise-ready solution that includes all the features needed to provide an on-premises (private) cloud offering, and to offer public cloud services.

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.

Akamai, BBC, Fermilab, Terradue, Surf Sara, Produban, Netways, ESA, China Mobile, BlackBerry, Deloitte, Fuze, Telefonica, Trivago, Nokia, Encore Tech, Beeks.