CloudBolt vs OpenNebula comparison

CloudBolt and OpenNebula are both solutions in the Cloud Management category. CloudBolt is ranked #19 with an average rating of 7.3, while OpenNebula is ranked #5 with an average rating of 8.2. CloudBolt holds a 2.2% mindshare in CM, compared to OpenNebula’s 7.4% mindshare. Additionally, 90% of CloudBolt users are willing to recommend the solution, compared to 100% of OpenNebula users who would recommend it.

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between CloudBolt and OpenNebula based on real PeerSpot user reviews.

Find out in this report how the two Cloud Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed CloudBolt vs. OpenNebula Report (Updated: October 2024).

Buyer's Guide

CloudBolt vs. OpenNebula

October 2024

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Categories and Ranking

IBM Turbonomic

Mindshare comparison

As of November 2024, in the Cloud Management category, the mindshare of IBM Turbonomic is 6.3%, down from 6.6% compared to the previous year. The mindshare of CloudBolt is 2.2%, up from 1.9% compared to the previous year. The mindshare of OpenNebula is 7.4%, up from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management

Featured Reviews

SubashSubbiah

Assistant Consultant at a tech services company with 10,001+ employees

Dec 10, 2022

It can tell us where performance is lagging on the hardware layer, but the reporting on the application layer is lacking

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 would like them to add some apps for physical device load resourcing and physical-to-virtual calculation. It gives excellent recommendations for the virtual layer but doesn't have the capabilities for physical-to-virtual analysis. Automated deployment is something else they could add. Some built-in automation features are helpful, but we aren't effectively using a few. We want a few more automated features, like autoscaling and automatic performance optimization testing would be useful.

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AdeolaEkunola

Director at NIGERCUBES LTD

Sep 15, 2023

The solution offers reliable resource control but needs to improve its UI

Cloudbox is just an abstraction software. There is no need for scalability. It's quite a simple solution. You might only need to increase the resources you apply to the CloudBold deployment. If, for example, the number of users increases, you might have to check the recommendations from CloudBolt and act accordingly. We have over 100 internal users. Regarding the infrastructure it sits on, the solution sits on the private of the on-prem, a VMware infrastructure that stands across two sites, the DR and the main production. We have over 60 ESXi of Asterisk and about 500 or 1,000 virtual machines.

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FOURES Jean-Philippe

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

Oct 3, 2023

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."

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

"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."

"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.""

"We have seen a 30% performance improvement overall."

"The tool provides the ability to look at the consumption utilization over a period of time and determine if we need to change that resource allocation based on the actual workload consumption, as opposed to how IT has configured it. Therefore, we have come to realize that a lot of our workloads are overprovisioned, and we are spending more money in the public cloud than we need to."

"We have a system where our developers automate machine builds, and that is constantly running out of resources. Turbonomic helps us with that, so I don't have to keep buying hardware. The developers always say, "They don't have enough. They don't have enough. They don't have enough," when they just configured it improperly. Therefore, Turbonomic helps us identify configuration issues on their side so it doesn't cost me money on the other end to buy resources that I don't really need."

"The notifications saying, "This is a corrective action," even though some of them can be automated, are always welcome to see. They summarize your entire infrastructure and how you can better utilize it. That is the biggest feature."

More IBM Turbonomic pros

"The solution's biggest advantage is flexibility"

"The initial deployment was super easy."

"Role-based access control and application blueprinting."

"I find the self-service features valuable."

"Hybrid cloud platform for VM and app deployment and management, with very good stability. It's customizable, easy to set up, and can be deployed within half an hour."

"OpenNebula has very good integration with SAP Storage."

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

"It makes maintenance very easy and stress-free for our teams."

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

"For the entire data center, as a private cloud, I believe that user management, expert management, and the virtual data center is completely magic for the users."

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

"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."

More OpenNebula pros

Cons

"The one point is the reporting. We do have reports out of it, but they're not the level of graphical detail I would like."

"I do not like Turbonomic's new licensing model. The previous model was pretty straightforward, whereas the new model incorporates what most of the vendors are doing now with cores and utilization. Our pricing under the new model will go up quite a bit. Before, it was pretty straightforward, easy to understand, and reasonable."

"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."

"Recovering resources when they're not needed is not as optimized as it could be."

"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."

"Some features are only available via changes to the deployment YAML, and it would be better to have them in the UI."

"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."

"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."

More IBM Turbonomic cons

"Could increase the number of integrations and add more out-of-the-box work flows."

"The scheduling feature of CloudBolt needs improvement because sometimes, it doesn't work."

"The area of integrating on-prem and cloud needs improvement."

"The solution is not easy to use. It's not intuitive enough to click anywhere in the solution and make it work."

"The management of SaaS must be improved."

"Hosting platforms are limited so the deployment process needs improvement."

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

"There are no payment gateways in OpenNebula."

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

"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."

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

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

More OpenNebula cons

Pricing and Cost Advice

"We see ROI in extended support agreements (ESA) for old software. Migration activities seem to be where Turbonomic has really benefited us the most. It's one click and done. We have new machines ready to go with Turbonomic, which are properly sized instead of somebody sitting there with a spreadsheet and guessing. So, my return on investment would certainly be on currency, from a software and hardware perspective."

"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."

"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."

"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."

"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."

"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 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."

"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."

More IBM Turbonomic pricing and cost advice

"I rate the pricing an eight out of ten because the solution is expensive."

"The solution is reasonably priced."

"The system is cheaper if a customer has fewer servers since you pay by the node."

"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."

"OpenNebula gives good value for money."

"The solution is open source so is free."

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

"VRA is very expensive but OpenNebula 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."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

11%

Healthcare Company

Computer Software Company

18%

Financial Services Firm

12%

Government

10%

University

Computer Software Company

23%

University

10%

Educational Organization

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

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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...

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What do you like most about CloudBolt?

I find the self-service features valuable.

See all answers

What is your experience regarding pricing and costs for CloudBolt?

I rate the pricing an eight out of ten because the solution is expensive. The license is expensive to acquire.

See all answers

What needs improvement with CloudBolt?

The area of integrating on-prem and cloud needs improvement. Another area that the solution needs to improve on is th...

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What do you like most about OpenNebula?

The live migration feature has been great and is something we use very often.

See all answers

What is your experience regarding pricing and costs for OpenNebula?

OpenNebula gives good value for money.

See all answers

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...

See all answers

Comparisons

VMware Aria Operations vs IBM Turbonomic

Compared 20% of the time

Azure Cost Management vs IBM Turbonomic

Compared 12% of the time

VMware vSphere vs IBM Turbonomic

Compared 9% of the time

Cisco Intersight vs IBM Turbonomic

Compared 9% of the time

Intel Granulate vs IBM Turbonomic

Compared 2% of the time

More IBM Turbonomic Competitors

Morpheus vs CloudBolt

Compared 48% of the time

VMware Aria Automation vs CloudBolt

Compared 13% of the time

BMC Helix Cloud Security vs CloudBolt

Compared 11% of the time

BMC Cloud Lifecycle Management vs CloudBolt

Compared 9% of the time

Nutanix Cloud Manager (NCM) vs CloudBolt

Compared 7% of the time

More CloudBolt Competitors

CloudStack vs OpenNebula

Compared 59% of the time

VMware Aria Automation vs OpenNebula

Compared 11% of the time

Nutanix Cloud Manager (NCM) vs OpenNebula

Compared 9% of the time

VMware Cloud Director vs OpenNebula

Compared 6% of the time

Nutanix Cloud Infrastructure (NCI) vs OpenNebula

Compared 3% of the time

More OpenNebula Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

October 2024

Download IBM Turbonomic product report

Buyer's Guide

CloudBolt

November 2024

Download CloudBolt product report

Buyer's Guide

OpenNebula

October 2024

Download OpenNebula product report

Also Known As

Turbonomic, VMTurbo Operations Manager

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IBM

CloudBolt

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OpenNebula

Interactive Demo

IBM

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CloudBolt

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OpenNebula

Overview

IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by companies to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.

IBM Turbonomic leverages AI to continuously analyze application resource consumption, deliver insights and dashboards, and make real-time adjustments. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. By integrating with various cloud platforms, on-premise infrastructures, and containers, IBM Turbonomic provides a holistic view of the environment, ensuring that resources are allocated efficiently.

The solution is designed to support complex IT environments, offering actionable insights and automated actions that help IT teams proactively manage application performance and infrastructure resources. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years.

IBM Turbonomic manages resources across hybrid and on-premises data centers to ensure efficiency and financial impact awareness. It automates resource allocation, balances memory dynamically, and provides robust performance metrics. Users benefit from its ability to prevent resource starvation and offer cost-saving recommendations through continuous management. Executive Dashboards provide insights for cost justification and resource management, making IT operations simpler with AI-driven automation and actionable recommendations.

What are the most important features of IBM Turbonomic?

Automated Resource Allocation: Dynamically allocates resources for optimal performance.
Dynamic Memory Balancing: Adjusts memory allocation to prevent resource shortages.
Right-Sizing: Sizes VMs accurately for Azure and on-prem environments.
Single Platform Management: Manages resources across hybrid and on-premises data centers.
Proactive Performance Optimization: Continuously optimizes performance to prevent issues.
Kubernetes Support: Enhances container management with robust support.
Cost-Saving Recommendations: Provides actionable tips for reducing expenses.

What benefits should users look for in IBM Turbonomic reviews?

Cost Reduction: Helps minimize expenses through efficient resource management.
Performance Improvement: Enhances application performance by preventing resource starvation.
Detailed Insights: Offers comprehensive analytics to justify costs and resource utilization.
Simplified IT Processes: Uses AI automation to streamline operations.

IBM Turbonomic is implemented across multiple industries, including finance for optimizing peak payroll processing, IT for enhanced virtual server management, and healthcare for reliable performance monitoring. Organizations benefit from its robust automation, ensuring maximum efficiency and cost savings.

CloudBolt supports a variety of cloud technologies, from on-premises virtualization and private cloud to a wide range public and hybrid cloud configurations.

No need to rip-and-replace. CloudBolt provides easy import, syncing, and management of legacy deployments even as it helps you build out new cloud environments.

CloudBolt lets administrators create and maintain configuration standards while developing a reusable library of service and application templates.

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.

WM, CyWest, Panic, Camden, University of Maryland, Xerox, Neustar, Medidata, Continu, Aruba Networks, Neuberger Berman, Peak6, EverBank, Ascensus, Hosting Edge

Akamai, BBC, Fermilab, Terradue, Surf Sara, Produban, Netways, ESA, China Mobile, BlackBerry, Deloitte, Fuze, Telefonica, Trivago

Buyer's Guide

CloudBolt vs. OpenNebula

October 2024

Free Report: CloudBolt vs. OpenNebula

Find out what your peers are saying about CloudBolt vs. OpenNebula and other solutions. Updated: October 2024.

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