Cloudify vs OpenNebula comparison

Cloudify and OpenNebula are both solutions in the Cloud Management category. Cloudify is ranked #17 with an average rating of 10.0, while OpenNebula is ranked #7 with an average rating of 8.3. Cloudify holds a 1.9% mindshare in CM, compared to OpenNebula’s 7.9% mindshare. Additionally, 100% of Cloudify users are willing to recommend the solution, compared to 100% of OpenNebula users who would recommend it.

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Executive SummaryUpdated on Dec 17, 2024

Cloudify and OpenNebula are competing platforms in cloud orchestration and management, with Cloudify holding an advantage due to its flexible features and advanced integration capabilities.

Features: Cloudify supports multi-cloud integration, application orchestration, and automation, making it ideal for complex environments. Extensive TOSCA support, infrastructure-as-code, and service chaining enhance its flexibility. OpenNebula is renowned for easy setup and management of virtualized data centers, scalable architecture, and robust API support for custom automation.

Room for Improvement: Cloudify could improve by simplifying the deployment process to better accommodate smaller organizations. Additionally, enhanced out-of-the-box integrations and streamlined resource consumption might attract more users. OpenNebula could benefit from expanded customer support, more refined enterprise features, and increased documentation for complex cloud setups.

Ease of Deployment and Customer Service: Cloudify offers customizable deployments suitable for complex enterprise needs, backed by dedicated support. OpenNebula's straightforward deployment model allows for rapid implementation, but its customer support may not match Cloudify's depth.

Pricing and ROI: Cloudify typically incurs higher setup costs but offers significant ROI for adaptable and scalable environments. OpenNebula provides a cost-effective solution with lower upfront investment, appealing to budget-conscious organizations or those with less complexity.

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

Buyer's Guide

Cloudify vs. OpenNebula

December 2024

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Categories and Ranking

IBM Turbonomic

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 Cloudify is 1.9%, down from 2.3% 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

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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Mark Wittling

Cloud Architect at Cox communications

Works very well for advanced service chaining requirements and has extremely advanced engineers for support

We had a manager who thought that Cloudify could be used as a replacement for Horizon in OpenStack, but we found that Cloudify lacked the user interface or GUI for doing multitenancy and basic platform management tasks. Cloudify was really good at launching, for example, firewalls and configuring them and doing service chaining and rather advanced things like that, but it didn't meet the requirements for a basic platform management solution. It is something that seems to work better as a bolt-on or an augmented solution. It is a bit mis-marketed as a Cloud Management solution. It is not that. It is more of a service orchestration and automation tool. It is very good at doing that, but it fails to meet basic platform management requirements. Once you have it running, you can't really do anything with it without writing code and scripts. It requires a full-time DevOps person to use it. We deployed a Palo Alto firewall with it. That's basically what the project was for us, and it worked flawlessly once we got it finished, but it took another 12 weeks to get all of the automation and everything else coded, tested, and working. There is certainly a place for this technology, but when we got rid of OpenStack and moved to VMware, we either had to go with the vRealize Automation Suite to do this kind of automation, or we had to find an alternative solution to manage the private cloud. So, we put Cloudify in, but we really couldn't find it useful for basic platform administration tasks.

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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

"I only deal with the infrastructure side, so I really couldn't speak to more than load balancing as the most valuable feature for me. It provides specific actions that prevent resource starvation. It always keeps things in perfect balance."

"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."

"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."

"I like the analytics that help us optimize compatibility. Whereas Azure Advisor tells us what we have to do, Turbonomic has automation which actually does those things. That means we don't have to be present to get them done and simplifies our IT engineers' jobs."

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

"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."

"The feature for optimizing VMs is the most valuable because a number of the agencies have workloads or VMs that are not really being used. Turbonomic enables us to say, 'If you combine these, or if you decide to go with a reserve instance, you will save this much.'"

"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."

More IBM Turbonomic pros

"You can use only what you need. You can remove certain Cloudify functions from the framework to create a "minified" version of what you need. This might only consist of the messaging delivery system, and the orchestration functions."

"TOSCA model allows modeling the application rather than the automation. It is a machine-readable representation of the application and its infrastructure, which can be used for other things too, not just for the orchestration (e.g. enterprise architecture big picture, who connects to whom)."

"Cloudify provides the infrastructure-as-code, as well as operational action capabilities (orchestrated startups or upgrades, and more)."

"Product has given us the ability to catch early scaling issues that many companies hit on with private clouds."

"Cloudify works in cases where you have very advanced service chaining requirements. It really works well there, and it fits the best. They have a standardized markup that's based on TOSCA, which is a standard. I like the fact that they're standards-based. Their solution works extremely well if you have the talent and the manpower to write TOSCA descriptors to deploy and interchange services or to automate the configuration and turn up of services."

"It enables a single platform to communicate with the entire infrastructure."

"Has great extendability which means you can build your own custom logic."

"Valuable features are auto-scaling and load balancing."

More Cloudify pros

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

"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."

"It is quite easy to deploy."

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

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

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

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

More OpenNebula pros

Cons

"I would love to see Turbonomic analyze backup data. We have had people in the past put servers into daily full backups with seven-year retention and where the disk size is two terabytes. So, every single day, there is a two terabyte snapshot put into a Blob somewhere. I would love to see Turbonomic say, "Here are all your backups along with the age of them," to help us manage the savings by not having us spend so much on the storage in Azure. That would be huge."

"The GUI and policy creation have room for improvement. There should be a better view of some of the numbers that are provided and easier to access. And policy creation should have it easier to identify groups."

"It would be nice for them to have a way to do something with physical machines, but I know that is not their strength Thankfully, the majority of our environment is virtual, but it would be nice to see this type of technology across some other platforms. It would be nice to have capacity planning across physical machines."

"If they would educate their customers to understand the latest updates, that would help customers... Also, there are a lot of features that are not available in Turbonomic. For example, PaaS component optimization and automation are still in the development phase."

"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."

"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."

"Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."

"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

"It lacked the user interface for multitenancy and basic platform management tasks. It is a leader in the niche area that they like to perform in, but it only does about 30% of top-tier advanced functions of platform management. It doesn't meet about 70% of what you need to manage a private cloud platform."

"Unlike the Docker environment, Cloudify takes time for configuration and its learning curve."

"The upgrading process could be simplified."

"Error handling could be improved; GUI is lacking with respect to user privileges and connectivity."

"Certainly the UI could use some intensive work, but nevertheless, overall, it’s a complete product with its 3.4 version and much better features are available with 4.0."

"Install of the product itself could be improved and I would like to see better event monitoring."

"The solution is a bit of a headache because mistakes happen in the blueprint every time we deploy and they require modifications."

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

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

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

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

"There are no payment gateways in OpenNebula."

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

"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."

More OpenNebula cons

Pricing and Cost Advice

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

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

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

"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."

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

"It is an endpoint type license, which is fine. It is not 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."

More IBM Turbonomic pricing and cost advice

"I wasn't involved in the pricing of it because we were just doing prototype work with it, but I was told by the upper management team that it was quite expensive. That was another reason we switched to Morpheus."

"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

Computer Software Company

17%

Financial Services Firm

16%

Retailer

Healthcare Company

Computer Software Company

23%

University

10%

Financial Services Firm

Educational Organization

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 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

Morpheus vs Cloudify

Compared 34% of the time

Nutanix Cloud Manager (NCM) vs Cloudify

Compared 15% of the time

CloudStack vs Cloudify

Compared 13% of the time

VMware Aria Automation vs Cloudify

Compared 10% of the time

Nutanix Cloud Infrastructure (NCI) vs Cloudify

Compared 9% of the time

More Cloudify Competitors

CloudStack vs OpenNebula

Compared 55% of the time

VMware Aria Automation vs OpenNebula

Compared 13% of the time

Nutanix Cloud Manager (NCM) vs OpenNebula

Compared 10% of the time

VMware Cloud Director vs OpenNebula

Compared 7% of the time

AWS Control Tower vs OpenNebula

Compared 1% of the time

More OpenNebula Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

December 2024

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Buyer's Guide

Cloudify

December 2024

Download Cloudify product report

Buyer's Guide

OpenNebula

December 2024

Download OpenNebula product report

Also Known As

Turbonomic, VMTurbo Operations Manager

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IBM

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Cloudify

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OpenNebula

Interactive Demo

IBM

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Cloudify

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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.

Cloudify is an open-source orchestration-first cloud management platform. The solution allows applications to efficiently run across multiple cloud or data center platforms for premium multi-cloud infrastructure automation and orchestration. It provides infrastructure automation using environment as a service (EaaS) technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains.

Cloudify Product Highlights

Fully customizable (white label, add, and modify widgets)
Create a custom view per business units, groups, user role
Easy integration with any 3rd-party/homegrown portal
Identify and eliminate task execution failures via a visual interface
Easy service composition that allows you to create new or update existing services
Switch between code and topology views
Import existing automation templates and scripts into Cloudify and automatically convert them into certified environments.
Intelligent and declarative engine that automates the entire lifecycle management
Intuitive UX and dashboards allowing complete visibility and control over usage, behavior, faults, and events of application/network services.

Cloudify Features

Cloudify has many valuable key features. Some of the most useful ones include:

Elastic caching
Post-deployment automation
Deployment monitoring
Service catalog
Real-time code validation
Plugins (Kubernetes, Ansible, AWS Cloud Formation, Azure ARM, Terraform)
Advanced Kubernetes management UI
Multi cluster action
Governance and compliance
Self-serve experience

Cloudify Benefits

There are many benefits to implementing Cloudify. Some of the biggest advantages the solution offers include:

Operation agility: Cloudify gives your organization and DevOps teams the ability to react to resource needs, evolve, and adapt quickly over time.

Self-service: Cloudify provides a self-service catalog and portal framework for cloud automation and cloud orchestration to provide a helpful and intuitive experience for environments, apps, and services setup and management.

Real-time visibility: Cloudify enables you to visually track all task executions. By implementing Cloudify, you can monitor progress and status of each execution step on Cloudify’s cloud orchestration platform, identify and eliminate task execution failures via a visual interface, and you can also apply management actions, such as stop, correct, and resume, quickly.

Reduce design and configuration time: The Cloudify solution has a visual editor, allowing greater visibility into blueprint structure and dependencies, and drag-n-drop service composition that helps you leverage shared resources and components for ultimate open-source infrastructure and cloud orchestration.

Fast deployment: Another benefit of Cloudify is that it helps speed up deployments of your test/dev/production environments from your CI/CD.

Enables continuous updates: With Cloudify, you have continuous updates for your production environments. Cloudify enables your organization to monitor health, heal failures, update patches, and scale resources without any environment downtime.

Governance: By using the Cloudify solution, you can accommodate governance changes and can scale and update operations according to your certified architecture.

Easier to manage Kubernetes: Cloudify makes it simple for you to manage multi Kubernetes clusters via service orchestration, enabling you to manage the application service itself rather than just its infrastructure.

Cost optimization: With Cloudify, you can control costs by employing end-to-end modeling of the entire infrastructure. The solution offers cost-saving policies, which include the decommissioning of formerly complex services and resources.

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.

Proximus Partner Communications (Israel) VMware NTT Data Metaswitch Spirent Communications Lumina Networks Atos Fortinet

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

Buyer's Guide

Cloudify vs. OpenNebula

December 2024

Free Report: Cloudify vs. OpenNebula

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

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