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CloudSphere vs OpenNebula comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024
 

Categories and Ranking

IBM Turbonomic
Sponsored
Ranking in Cloud Management
4th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (5th), Virtualization Management Tools (3rd), IT Financial Management (1st), IT Operations Analytics (5th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (5th)
CloudSphere
Ranking in Cloud Management
31st
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
5
Ranking in other categories
Cloud Migration (15th)
OpenNebula
Ranking in Cloud Management
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Cloud Management category, the mindshare of IBM Turbonomic is 6.3%, down from 6.7% compared to the previous year. The mindshare of CloudSphere is 0.6%, down from 0.8% compared to the previous year. The mindshare of OpenNebula is 7.9%, up from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management
 

Featured Reviews

SubashSubbiah - PeerSpot reviewer
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.
Vibhor Gupta - PeerSpot reviewer
Great discovery, good support, and generally reliable
The area they need to focus most on is the capability of assessment and the landing zones. It’s lacking right now. Cloud transformation has four to five cases, including planning, discovery, assessment, and the MVC, which is called the minimal viable cloud. That comes with the architecture design or landing zone creation, where we will create resources on the cloud which we are provisioning. If we are moving onto the cloud platform, AWS, or zero GCP, we need an account. We need resources to be able to compute the network. Most organizations have their landing zone process and know how to create the resources account, compute the network layer and the security layer. However, this landing zone creation is not there in CloudSphere as a feature. It cannot create any of the cloud providers' accounts or their network security computing as a part of the orchestration layer. That orchestration layer is missing in this product. It will not discover all the applications, although they also have the catalog. They are constantly announcing their catalog to identify applications based on the service which we are discovering. 50% of the time, the application will discover automatically. However, for the other 50%, we need to find the application based on its running process. That's the automation method that we need to follow and that they call blueprint. We need to create those blueprints and then we need to tag those applications. That is the one process that takes time when we do the discovery. One of the cons of this product is that it will not discover all the applications running. It will not discover SAP or some kinds of applications that are running on those inside the application of the servers as well. When we start the scanning of, for example, 500 servers, it will not handle the scan. We need to differentiate the jobs - for example, one job for 100 servers, a second job for another 100 servers, et cetera. We cannot scan the 1,000 servers together. That causes it to take time. There’s a graph missing. It shows where all the servers have interdependencies; however, when we do actual work, it will not work properly in terms of what we present to the customer.
FOURES Jean-Philippe - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The system automatically sizes and moves resources based on the needs of the applications."
"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 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."
"We have seen a 30% performance improvement overall."
"It has automated a lot of things. We have saved 30 to 35 percent in human resource time and cost, which is pretty substantial. We don't have a big workforce here, so we have to use all the automation we can get."
"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.""
"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."
"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."
"For the customers I work with, it provides flexibility as far as storage is concerned, so it's security and access."
"We do not need to install any appliances or any agents."
"Provides multiple kinds of services for managing the clouds of multiple customers."
"When I started using CloudSphere, it wasn't mature, and it had multiple issues. For example, my team experienced server issues while using the solution, but recently, I noticed how much CloudSphere has improved. There used to be some latency issues with CloudSphere. It even gave error messages in the past when you select an option such as "the web server is not responding", but it has improved a lot, and now I don't get any errors from CloudSphere. What I like best about CloudSphere is that it has a lot of beneficial features, and it has a single pane for managing multi-cloud environments, which I find very helpful, and it's the main benefit you can get from CloudSphere."
"The product is helpful for the management, optimization, and utilization of resources."
"The live migration feature has been great and is something we use very often."
"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."
"OpenNebula is lightweight, stable, and easy to customize."
"With a single click, we could set things up and initiate them."
"What's best about OpenNebula that people like is that it's easy to deploy. It's also easy to manage. It's interesting because people choose OpenNebula over other solutions because of the ease of management."
"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."
 

Cons

"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 old interface was not the clearest UI in some areas, and could be quite intimidating when first using the tool."
"Additional interfaces would be helpful."
"Recovering resources when they're not needed is not as optimized as it could be."
"The implementation could be enhanced."
"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."
"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 planning and costing areas could be a little bit more detailed. When you have more than 2,000 machines, the reports don't work properly. They need to fix it so that the reports work when you use that many virtual machines."
"The main issue I experienced from CloudSphere was recently resolved, but an area for improvement in the solution is that it lacks the functionality of migrating resources from one public cloud to another. If CloudSphere could provide that functionality, that would be very beneficial to users and companies."
"There are quite a number of services that can't be deployed using CloudSphere."
"The solution must have a single management console for the resources and VMs."
"The next feature I would like to have full disclosure of what's being done with the data."
"When we start the scanning of, for example, 500 servers, it will not handle the scan. We need to differentiate the jobs - for example, one job for 100 servers, a second job for another 100 servers, et cetera."
"The web interface could be better. It's not very difficult to use, but there's room for enhancement."
"There are small things that are hard. For example, making sure that it is going to be installable on public clouds."
"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."
"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."
"Hosting platforms are limited so the deployment process needs improvement."
"The UI, monitoring, and alerting could benefit from further improvements."
"The storage feature that they have is a bit confusing."
"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."
 

Pricing and Cost Advice

"I consider the pricing to be high."
"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."
"I'm not involved in any of the billing, but my understanding is that is fairly expensive."
"IBM Turbonomic is an investment that we believe will deliver positive returns."
"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."
"Price is a big one. VMTurbo was very competitively priced."
"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."
"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."
"It depends on how that model will be used. It might be anywhere between $4 and $15 per license per month. It’s less expensive than other options."
"The product is very expensive."
"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."
"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."
"VRA is very expensive but OpenNebula is free."
"The solution is open source so is free."
"OpenNebula gives good value for money."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
8%
Financial Services Firm
17%
Computer Software Company
16%
Insurance Company
7%
Comms Service Provider
6%
Computer Software Company
23%
University
10%
Financial Services Firm
7%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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...
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...
What do you like most about CloudSphere?
The product is helpful for the management, optimization, and utilization of resources.
What is your primary use case for CloudSphere?
I use the solution for our hyper-converged infrastructure within the organization for hospital management. We also ac...
What advice do you have for others considering CloudSphere?
We have a FortiGate license. The product is very good. The technical support is also very good. If the solution provi...
What do you like most about OpenNebula?
The live migration feature has been great and is something we use very often.
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...
 

Also Known As

Turbonomic, VMTurbo Operations Manager
HyperCloud
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Learn More

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Interactive Demo

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Overview

 

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Affymetrix, Bell Helicopter, Yavapai-Prescott Indian Tribe, Porterville Unified School District, Interact for Health, VirtueCom, Warren Memorial Hospital, Front Porch, RMH Group, Meyers Nave, Intraworks, Information Technology, ETTE, Clackamas Community College
Akamai, BBC, Fermilab, Terradue, Surf Sara, Produban, Netways, ESA, China Mobile, BlackBerry, Deloitte, Fuze, Telefonica, Trivago
Find out what your peers are saying about CloudSphere vs. OpenNebula and other solutions. Updated: December 2024.
824,067 professionals have used our research since 2012.