HPE Eucalyptus [EOL] vs OpenNebula comparison

Hewlett Packard Enterprise and OpenNebula are both solutions in the Cloud Management category. Additionally, 50% of Hewlett Packard Enterprise users are willing to recommend the solution, compared to 100% of OpenNebula users who would recommend it.

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Executive Summary

We performed a comparison between HPE Eucalyptus [EOL] and OpenNebula based on real PeerSpot user reviews.

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Buyer's Guide

Cloud Management

November 2024

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Categories and Ranking

IBM Turbonomic

Featured Reviews

SubashSubbiah

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

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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HiranthaWijayawardena

Manager Global Cloud Strategy & Lean IT at Mubasher

Good interface, and an easy initial setup with good community support on the free version

The customization should be improved. We should be able to diversify the machine for AWS. When we get involved with that right now, it becomes very bad. Some areas of configuration didn't work for us. The solution should offer more speed and should be able to stabilize the database environment. We've tried to do this, but it hasn't been solid. Sometimes it works, sometimes it doesn't. If we want to do an interceptor, what we need is a really high level of TT programming or a specific configuration to be able to scale it out. It works to some extent, but it's not strong. When it does not implement in our center we have to go and manually fix it. The solution should be able to better scale the number of users, especially when you're using the cloud. The solution should extend better into the Microsoft community and companies should be able to run it on Azure Cloud.

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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

"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.""

"With over 2500 ESX VMs, including 1500+ XenDesktop VDI desktops, hosted over two datacentres and 80+ vSphere hosts, firefighting has become something of the past."

"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."

"It also brings up a list of machines and if something is under-provisioned and needs more compute power it will tell you, 'This server needs more compute power, and we suggest you raise it up to this level.' It will even automatically do it for you. In Azure, you don't have to actually go into the cloud provider to resize. You can just say, 'Apply these resizes,' and Turbonomic uses some back-end APIs to make the changes for you."

"The primary features we have focused on are reporting and optimization."

"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 solution has a good optimization feature."

"We've saved hundreds of hours. Most of the time those hours would have to be after hours as well, which are more valuable to me as that's my personal time."

More IBM Turbonomic pros

"The most valuable aspect of the solution is the interface on the console."

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

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

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

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

"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."

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

"It is quite easy to deploy."

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

More OpenNebula pros

Cons

"Additional interfaces would be helpful."

"While the product is fairly intuitive and easy to use once you learn it, it can be quite daunting until you have undergone a bit of training."

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

"It sometimes does get false positives. Sometimes, it'll move something when it really wasn't a performance metric. I've seen it do that, but it's pretty much an automated tool for performance. We've only got about 500 virtual machines, so lots of times, I'm able to manage it physically, but it's definitely a nice tool for a larger enterprise that might be managing 2,000 or 3,000 virtual machines."

"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."

"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."

"There are a few things that we did notice. It does kind of seem to run away from itself a little bit. It does seem to have a mind of its own sometimes. It goes out there and just kind of goes crazy. There needs to be something that kind of throttles things back a little bit. I have personally seen where we've been working on things, then pulled servers out of the VMware cluster and found that Turbonomic was still trying to ship resources to and from that node. So, there has to be some kind of throttling or ability for it to not be so buggy in that area. Because we've pulled nodes out of a cluster into maintenance mode, then brought it back up, and it tried to put workloads on that outside of a cluster. There may be something that is available for this, but it seems very kludgy to me."

"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."

More IBM Turbonomic cons

"The customization should be improved."

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

"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."

"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."

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

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

"Backup features are only available in the enterprise edition. The community version lacks a good solution for making backups."

"They should add more features like object storage."

More OpenNebula cons

Pricing and Cost Advice

"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."

"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."

"IBM Turbonomic is an investment that we believe will deliver positive returns."

"I consider the pricing to be high."

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

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

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

"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."

More IBM Turbonomic pricing and cost advice

Information not available

"OpenNebula gives good value for money."

"The solution is open source so is free."

"VRA is very expensive but OpenNebula is free."

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

"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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

No data available

Computer Software Company

23%

University

10%

Financial Services Firm

Educational Organization

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...

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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 OpenNebula?

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

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What is your experience regarding pricing and costs for OpenNebula?

OpenNebula gives good value for money.

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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...

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Comparisons

VMware Aria Operations vs IBM Turbonomic

Compared 19% of the time

Azure Cost Management vs IBM Turbonomic

Compared 13% of the time

VMware vSphere vs IBM Turbonomic

Compared 9% of the time

Cisco Intersight vs IBM Turbonomic

Compared 8% of the time

Cloudability vs IBM Turbonomic

Compared 6% of the time

More IBM Turbonomic Competitors

No data available

CloudStack vs OpenNebula

Compared 55% of the time

VMware Aria Automation vs OpenNebula

Compared 14% of the time

Nutanix Cloud Manager (NCM) vs OpenNebula

Compared 10% of the time

VMware Cloud Director vs OpenNebula

Compared 7% of the time

Nutanix Cloud Infrastructure (NCI) vs OpenNebula

Compared 3% of the time

More OpenNebula Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

December 2024

Download IBM Turbonomic product report

Buyer's Guide

Cloud Management

November 2024

Download HPE Eucalyptus [EOL] product report

Buyer's Guide

OpenNebula

December 2024

Download OpenNebula product report

Also Known As

Turbonomic, VMTurbo Operations Manager

Eucalyptus, HP Eucalyptus

No data available

Learn More

Video not available

IBM

Hewlett Packard Enterprise

Video not available

OpenNebula

Interactive Demo

IBM

Demo not available

Hewlett Packard Enterprise

Demo not available

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.

HP Eucalyptus helps customers grow revenue and stay ahead of competition by enabling developers to get the IT resources they need in seconds, not days. Its unique AWS compatibility ensures applications are easily deployed in private, public or hybrid cloud environments.

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.

Mosaik Solutions, Nava Solutions

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

Find out what your peers are saying about VMware, Nutanix, IBM and others in Cloud Management. Updated: November 2024.

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