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Cloudify vs IBM Turbonomic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

Review summaries and opinions

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

Categories and Ranking

Cloudify
Ranking in Cloud Management
29th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
12
Ranking in other categories
No ranking in other categories
IBM Turbonomic
Ranking in Cloud Management
4th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (4th), Virtualization Management Tools (2nd), IT Financial Management (1st), IT Operations Analytics (4th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (4th)
 

Mindshare comparison

As of July 2025, in the Cloud Management category, the mindshare of Cloudify is 1.9%, up from 1.7% compared to the previous year. The mindshare of IBM Turbonomic is 5.4%, down from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management
 

Featured Reviews

Mark Wittling - PeerSpot reviewer
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.
Dan Ambrose - PeerSpot reviewer
Helps visibility, bridges the data gap, and frees up time
We use IBM Turbonomic in a hybrid cloud environment. Although it supports multi-cloud capabilities, we currently operate in a single-cloud setting. Turbonomic offers visibility into our environment's performance, spanning across applications, underlying infrastructure, and protection resources. The visibility and analytics help to bridge the data gap between disparate IT teams such as applications and infrastructure. This is important for awareness collaboration, cost saving, and helping to design and improve our application. Enhanced visibility and data analytics have contributed to a significant reduction in our mean time to resolve. Tools like Turbonomic provide crucial visualization and insights, empowering us to make data-driven decisions instead of relying on assumptions as we did before. This newfound transparency translates to a massive improvement, going from complete darkness to having a clear 100 percent view of the situation. Although our applications are not optimized for the cloud we have seen some improvement in response time. IBM Turbonomic empowers us to achieve more with fewer people thanks to automation. Previously, customers frequently contacted us requesting resource increases to resolve issues. Now, we have a tool that allows us to objectively assess their needs, leading to a deeper understanding of our applications. This solution also generates significant cost savings in the cloud and optimizes hardware utilization within our data centers. Its AI algorithm intelligently allocates servers on hosts, maximizing efficiency without compromising performance. By fine-tuning resource allocation without causing performance bottlenecks, Turbonomic extends the lifespan of existing hardware, postponing the need for new purchases. This effectively stretches our capital expenditure budget. We started to see the benefits of IBM Turbonomic within the first 60 days. IBM is a fantastic partner. Their tech support has been outstanding, and the product itself is excellent - a very solid offering. By automating resource management with Turbonomic, our engineers are freed up to focus on more strategic initiatives like innovation and ongoing organizational projects. Previously, manually adding resources was a time-consuming process that interrupted workflows. Now, automation handles scaling efficiently, saving us thousands of man-hours and significant costs. It has illuminated the need for SetOps. It has highlighted areas of overspending, and the actions we've taken have demonstrated significant cost savings. IBM Turbonomic has positively impacted our overall application performance. IBM Turbonomic has helped reduce both CAPEX and OPEX. It has also significantly reduced cloud build times.

Quotes from Members

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

Pros

"Product has given us the ability to catch early scaling issues that many companies hit on with private clouds."
"Valuable features are auto-scaling and load balancing."
"Extensible internal functions and plugins. Can implement custom plugins to fit your scenario. Python based plugins."
"The solution includes the option to run background scripts and processes from a connected API."
"Cloudify provides the infrastructure-as-code, as well as operational action capabilities (orchestrated startups or upgrades, and more)."
"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)."
"Has great extendability which means you can build your own custom logic."
"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."
"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 automated memory balancing, where it looks at whether it's being used in the most efficient way and adds or takes away memory, is the best part. If it didn't do that, it would be something that I would have to do. We have too many machines for one person to do that. The automation helps me in that it is done in a really efficient way and a balanced way because of the policies. It really helps."
"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."
"The ability to monitor and automate both the right-sizing of VMs as well as to automate the vMotion of VMs across ESXi hosts."
"It is a good holistic platform that is easy to use. It works pretty well."
"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.""
"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."
"The most valuable features are the cluster utilization reports and the resource capacity planning. We can simulate how much capacity we can add to the current resources. The individual DM reports and VM-facing recommendations report are also helpful."
 

Cons

"The solution is a bit of a headache because mistakes happen in the blueprint every time we deploy and they require modifications."
"The upgrading process could be simplified."
"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."
"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."
"Error handling could be improved; GUI is lacking with respect to user privileges and connectivity."
"Unlike the Docker environment, Cloudify takes time for configuration and its learning curve."
"I like the detail I get in the old user interface and will miss some of that in the new interface when we perform our planned upgrade soon."
"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 one point is the reporting. We do have reports out of it, but they're not the level of graphical detail I would like."
"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."
"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."
"They could add a few more reports. They could also be a bit more granular. While they have reports, sometimes it is hard to figure out what you are looking for just by looking at the date."
"Enhanced executive reporting standard with the tool beyond the reports that can be created today. Something that can easily be used with upper management on a monthly or quarterly basis to show the impact to our environment."
"It would be good for Turbonomic, on their side, to integrate with other companies like AppDynamics or SolarWinds or other monitoring softwares. I feel that the actual monitoring of applications, mixed in with their abilities, would help. That would be the case wherever Turbonomic lacks the ability to monitor an application or in cases where applications are so customized that it's not going to be able to handle them. There is monitoring that you can do with scripting that you may not be able to do with 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."
"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."
"Everybody tells me the pricing is high. But the ROIs are great."
"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."
"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."
"Price is a big one. VMTurbo was very competitively priced."
"IBM Turbonomic is an investment that we believe will deliver positive returns."
"It is an endpoint type license, which is fine. It is not overly expensive."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
10%
Retailer
8%
Healthcare Company
7%
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Ask a question
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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 set as a percentage of the consumption of some of our customers' services. The ...
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. This helps us get a consolidated view of all customer spending into a single d...
 

Also Known As

No data available
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Proximus Partner Communications (Israel) VMware NTT Data Metaswitch Spirent Communications Lumina Networks Atos Fortinet
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about Cloudify vs. IBM Turbonomic and other solutions. Updated: June 2025.
859,957 professionals have used our research since 2012.