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: June 2026).

IBM Turbonomic vs. OpenNebula

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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 (3rd), IT Financial Management (1st), IT Operations Analytics (10th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (16th)

OpenNebula

Ranking in Cloud Management

17th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Cloud Management category, the mindshare of IBM Turbonomic is 4.7%, down from 5.6% compared to the previous year. The mindshare of OpenNebula is 1.7%, down from 7.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management Mindshare Distribution
Product	Mindshare (%)
IBM Turbonomic	4.7%
OpenNebula	1.7%
Other	93.6%

Cloud Management

Featured Reviews

reviewer1446966

Senior Systems Engineer at a university with 1,001-5,000 employees

The solution reduced our operational expenditures and is able to identify points before we even noticed them

The management interface seems to be designed for high-resolution screens. Somebody with a smaller-resolution screen might not like the web interface. I run a 4K monitor on it, so everything fits on the screen. With a lower resolution like 1080, you need to scroll a lot. Everything is in smaller windows. It doesn't seem to be designed for smaller screens. When I change the resolution to 1080, I only see half of what I would on my big 4K monitor. It would be annoying to have to scroll to see the flow chart. They have a flow chart that goes top to bottom like a tree. On a lower resolution, it might be nice if that scrolls horizontally because it's long, narrow, and tall. It's only three icons wide, but it's 15 icons tall. I think it would be helpful to have the ability to change that for a smaller screen and customize the widget.

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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

"Less downtime due to small issues becoming big because we didn't see them, and the VMs are running at their optimal performance."

"We automate our vMotions, so it has helped us keep congestion on our hosts way down, and has been more effective than DRS."

"We used Turbonomic to plan our hardware refresh, and it was right on the money."

"We are happy with Turbonomic."

"This product has allowed us to see how dense we can make our ESXi clusters."

"I've found that the automation of moving VMs for resource allocation is second to none."

"It has saved us from buying lots of hardware that we would have bought if it weren't for Turbonomic."

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

More IBM Turbonomic pros

"It has enabled us to decrease the optics by around 55 to 60%."

"The solution provides templates for configurations that can easily be exchanged to VMs."

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

"OpenNebula is easy to deploy and manage compared to other solutions like OpenStack."

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

"OpenNebula has very good integration with SAP Storage, is easy to use, has a good UI, and is very scalable."

"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."

"I'll definitely recommend OpenNebula because it's an open-source solution that's effortless to set up, and the total cost of ownership is low."

More OpenNebula pros

Cons

"I would like it to auto-update itself rather than me having to check upgrade then apply on a monthly basis."

"Finding help can be difficult if needed."

"There is room for improvement [with] upgrades. We have deployed the newer version, version 8 of Turbonomic. The problem is that there is no way to upgrade between major Turbonomic versions. You can upgrade minor versions without a problem, but when you go from version 6 to version 7, or version 7 to version 8, you basically have to deploy it new and let it start gathering data again. That is a problem because all of the data, all of the savings calculations that had been done on the old version, are gone. There's no way to keep track of your lifetime savings across versions."

"We did see a few issues on a previous version with reporting."

"The deployment process is a little tricky. It wasn't hard for me because I have pretty in-depth knowledge of Kubernetes, and their software runs on Kubernetes. To deploy it or upgrade it, you have to be able to follow steps and use the Kubernetes command line, or you'll need someone to come in and do it for you."

"Also reporting needs to be worked on, the lack of ability to edit a report has been a challenge."

"We wish Nimble was available as a storage provider."

"It would be nice if it was easier to remove a host from that we would not want to manage (licenses)."

More IBM Turbonomic cons

"The storage feature that they have is a bit confusing."

"The web interface could be better. It's not very difficult to use, but there's room for enhancement."

"Template management also needs improvement in OpenNebula because it's inferior right now."

"They have been saying for the past two and a half years that they would develop a feature to hot-add RAM and CPU, but it does not work."

"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."

"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."

"There are no payment gateways in OpenNebula."

"They should add more features like object storage."

More OpenNebula cons

Pricing and Cost Advice

"What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."

"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."

"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."

"It's worth the time and money investment if you can afford it."

"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."

"In the last year, Turbonomic has reduced our cloud costs by $94,000."

"I consider the pricing to be high."

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

More IBM Turbonomic pricing and cost advice

"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."

"OpenNebula gives good value for money."

"VRA is very expensive but OpenNebula is free."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Construction Company

Financial Services Firm

12%

Comms Service Provider

Computer Software Company

University

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 ...

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What needs improvement with Turbonomic?

The implementation could be enhanced.

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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...

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Product Reports

IBM Turbonomic

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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 offers scalability, ease of deployment, and integration capabilities that enhance cloud management for enterprises. It supports both virtual and bare metal resources, providing a versatile cloud management experience.

OpenNebula provides a robust platform for building, managing, and automating private and public clouds. Its compatibility with platforms like VMware, KVM, and containers makes it ideal for businesses hosting virtual private clouds and deploying Kubernetes clusters. OpenNebula's API and SDK facilitate automation and integration, allowing organizations to connect with IT systems effectively. Despite its strengths, improvements in object storage, REST API integration, and UI enhancements are needed. The documentation can be disorganized, and users encounter challenges with upgrades and community support.

What are key OpenNebula features?

Scalability: Easily manage resources for growing cloud environments.
User-Friendly Interface: Simplifies cloud management tasks.
Integration: Connects seamlessly with IT systems using robust API and SDK.
Hypervisor Support: Works with multiple hypervisors and container platforms.

What benefits do users find in OpenNebula?

Efficiency: Streamlines cloud operations, reducing management complexities.
Versatility: Offers support for both virtual and bare metal resources.
Community and Documentation: Though needing improvement, provides valuable resources for users.
Cost-Effectiveness: Lightweight nature minimizes resource expenditure.

OpenNebula implementation spans industries where cloud automation and management are critical. Companies utilize OpenNebula for deploying private clouds and managing infrastructure. Its support for Kubernetes clusters is beneficial in tech-driven sectors, highlighting OpenNebula's adaptability to different operational needs.

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.

IBM Turbonomic vs. OpenNebula