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

September 2024

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Categories and Ranking

IBM Turbonomic

Featured Reviews

Nicholas Diesel

Solution Architect DC at a tech services company with 1-10 employees

Feb 5, 2024

An easy-to-use and stable solution for good visibility

Turbonomic provides visibility and analytics into an environment’s performance. The visibility and analytics help bridge the data gap between disparate IT teams, such as Applications and Infrastructure. Having this visibility, specifically for cloud optimization, is extremely important This has helped reduce our mean time to resolution (MTTR). On average there is about a 10% to 20% reduction, but it can be up to 60%. Turbonomic has shortened application response time. It has made them more agile. It's very good for optimizing the monitoring of the public cloud, private cloud, hybrid cloud, and/or Kubernetes. There are some health tools. It is extremely good for that. It is good for our clients to have visibility. It helps to have a complete view of what is going on. Their automation has helped engineers focus on innovation and ongoing modernization projects. It has saved us about 30% of our work time. Having visibility for particular solutions helped resolve issues, troubleshoot the management of clusters, and so on. It helped to reallocate resources to other parts of the business. Our clients have seen about 10%-20% of savings from utilizing Turbonomic.

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HiranthaWijayawardena

Manager Global Cloud Strategy & Lean IT at Mubasher

Feb 3, 2020

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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Thomas Bennett

Manager, DevOps System Engineering team at MX

Jan 10, 2024

Robust with great CLI tools and UI

We run on a SaaS platform with millions of end users; our entire platform runs on OpenNebula VMs in colocation data centers. At peak usage we had roughly 3000 individual virtual machines running, all VMs were Linux. Our company has built multiple independent OpenNebula clusters. We leverage the…

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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

"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."

"It is a good holistic platform that is easy to use. It works pretty well."

"We like that Turbonomic shows application metrics and estimates the impact of taking a suggested action. It provides us a map of resource utilization as part of its recommendation. We evaluate and compare that to what we think would be appropriate from a human perspective to that what Turbonomic is doing, then take the best action going forward."

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

"Before implementing Turbonomic, we had difficulty reaching a consensus about VM placement and sizing. Everybody's opinion was wrong, including mine. The application developers, implementers, and infrastructure team could never decide the appropriate size of a virtual machine. I always made the machines small, and they always made them too big. We were both probably wrong."

"We have VM placement in Automated mode and currently have all other metrics in Recommend mode."

"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."

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

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

"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."

"OpenNebula has very good integration with SAP Storage."

"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."

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

"It is quite easy to deploy."

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

"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."

More OpenNebula pros

Cons

"The implementation could be enhanced."

"They have a long road map when we ask for certain things that will make the product better. It takes time, but that's understandable because there are other things that are higher on the priority list."

"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."

"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."

"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."

"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 is an opportunity for improvement with some of Turbonomic's permissions internally for role-based access control. We would like the ability to come up with some customized permissions or scope permissions a bit differently than the product provides."

"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."

More IBM Turbonomic cons

"The customization should be improved."

"There are no payment gateways in OpenNebula."

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

"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."

"They should add more features like object storage."

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

"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."

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

"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

"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."

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

"I consider the pricing to be high."

"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."

"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."

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

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

More IBM Turbonomic pricing and cost advice

Information not available

"VRA is very expensive but OpenNebula is free."

"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 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."

"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

16%

Computer Software Company

16%

Manufacturing Company

10%

Healthcare Company

No data available

Computer Software Company

24%

University

10%

Educational Organization

Financial Services Firm

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 are the pros and cons of VMware vSphere vs Rackspace OpenStack vs HPE Eucalyptus in cloud computing?

The best cloud platform for your organization will depend on specific needs and requirements, but below are the advan...

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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 11% of the time

Cisco Intersight vs IBM Turbonomic

Compared 9% of the time

VMware vSphere vs IBM Turbonomic

Compared 8% of the time

VMWare Tanzu CloudHealth vs IBM Turbonomic

Compared 6% of the time

More IBM Turbonomic Competitors

No data available

CloudStack vs OpenNebula

Compared 60% of the time

VMware Aria Automation vs OpenNebula

Compared 10% 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

September 2024

Download IBM Turbonomic product report

Buyer's Guide

Cloud Management

September 2024

Download HPE Eucalyptus [EOL] product report

Buyer's Guide

OpenNebula

August 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: September 2024.

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