Cloudify vs IBM Turbonomic comparison

Why PeerSpot?

Cloudify and IBM are both solutions in the Cloud Management category. Cloudify is ranked #39, while IBM is ranked #4 with an average rating of 9.3. Cloudify holds a 1.4% mindshare in CM, compared to IBM’s 4.7% mindshare. Additionally, 100% of Cloudify users are willing to recommend the solution, compared to 98% of IBM users who would recommend it.

Cloudify

Read 12 Cloudify reviews

2,558 Views
2,430 Comparison Views

100% willing to recommend

IBM Turbonomic

Read 205 IBM Turbonomic reviews

22,166 Views
10,640 Comparison Views

98% willing to recommend

Cloudify

IBM Turbonomic

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Executive SummaryUpdated on Dec 17, 2024

IBM Turbonomic and Cloudify compete in enterprise application management. Cloudify has an advantage in flexibility with comprehensive orchestration, while IBM Turbonomic leads in scalability.

Features: IBM Turbonomic provides robust resource optimization, real-time analytics, and automation for performance efficiency. Cloudify offers strong orchestration, automation capabilities, and management across hybrid cloud environments.

Room for Improvement: IBM Turbonomic can enhance its multi-cloud management and automation extensibility. It should have more flexible deployment options. Cloudify needs to improve its scalability features and streamline deployment processes. Enhancing customer support response times could also benefit users.

Ease of Deployment and Customer Service: IBM Turbonomic boasts a streamlined deployment with robust support, suitable for large-scale enterprises. Cloudify provides a customizable deployment model that can be time-consuming, catering to specific business needs with flexibility.

Pricing and ROI: IBM Turbonomic involves a significant initial investment but offers a strong ROI by optimizing resources and reducing operational costs. Cloudify appeals to those seeking multi-cloud orchestration with a lower setup cost, aligning with cost-effective cloud management goals.

To learn more, read our detailed Cloudify vs. IBM Turbonomic Report (Updated: November 2026).

Buyer's Guide

Cloudify vs. IBM Turbonomic

November 2026

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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

39th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

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 (2nd), Virtualization Management Tools (3rd), IT Financial Management (3rd), IT Operations Analytics (9th), Cloud Analytics (1st), Cloud Cost Management (3rd), AIOps (18th)

Mindshare comparison

As of November 2026, in the Cloud Management category, the mindshare of Cloudify is 1.4%, down from 1.7% compared to the previous year. The mindshare of IBM Turbonomic is 4.7%, up from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management Mindshare Distribution
Product	Mindshare (%)
IBM Turbonomic	4.7%
Cloudify	1.4%
Other	93.9%

Cloud Management

Featured Reviews

Ullas Soman

DevOps Consultant at Coforge Growth Agency

Great at enabling a single platform to communicate with an entire infrastructure.

The best feature of Cloudify is that it enables a single platform to communicate with the DB, with applications, and with the entire infrastructure. The product is very stable and has a lot of troubleshooting and analytical features. It's easy to understand and user-friendly. If you want to uninstall something, it's very easy to have the logic created in Cloudify. Other solutions don't have this. For example, if you wanted to decommission after three or four years, rather than going for a full decommission, it's possible to unallocate a particular space. If you want to allocate storage for a new build, it's very easy to deploy, uninstall and release some storage from the TOSCA.

Read full review

Dan Ambrose

Infrastructure Engineer 4 at a tech vendor with 1,001-5,000 employees

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.

Read full review

Quotes from Members

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

Pros

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

"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."

"Extensible internal functions and plugins. Can implement custom plugins to fit your scenario. Python based plugins."

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

"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."

"The solution includes the option to run background scripts and processes from a connected API."

"This is a somewhat complex solution for very complex use cases where there are multiple cloud vendors, multiple infrastructures, and multiple configurations."

More Cloudify pros

"It has reduced our hardware costs by allowing us to purchase only the necessary resources instead of over purchasing out of caution."

"Turbonomic is the best for two main reasons: Simplicity and accuracy."

"We purchased this product because it was the best that we evaluated and I'm very happy with our choice."

"We are happy with Turbonomic."

"Turbonomic is an excellent product as far as we are concerned for managing the pod sizes and determining the best sizing for those pods."

"This product has extended the life of our HW and allowed us to get more utilization out of the existing HW before needing to add hosts to the cluster."

"Turbonomic has been excellent in keeping us running smoothly."

"It is a solid product that does what it says."

More IBM Turbonomic pros

Cons

"The solution could be improved with respect to error handling. If we want to troubleshoot further and deep dive, we don't have access to admin privileges to extract those errors."

"I'd like to see a more simplified upgrade process so it can be completed in one step rather than multiple steps (snapshot backup + snapshot restore)."

"I did encounter any issues with scalability."

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

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

"There were some issues with deploying the solution on OpenStack Mitaka."

"More of the debug functionality is needed; hopefully, we can pause during the server building process."

"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."

More Cloudify 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."

"They could add a few more reports. They could also be a bit more granular."

"This is a very powerful tool that we don't use to its fullest, mostly due to the GUI."

"Definitions/descriptions of what each chart means. The line graph looks good, but doesn't mean anything without prior knowledge of what a good UI number is for example."

"I think the web interface could be better, I know they are working on a new one so I'm looking forward to seeing the final product when its released."

"Interface and navigation can be a challenge if you do not spend a lot of time with it."

"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."

"It does take a while to figure out their way of doing things."

More IBM Turbonomic cons

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."

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

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

"Contact the Turbonomic sales team, explain your needs and what you're looking to monitor. They will get a pre-sales SE on the phone and together work up a very accurate quote."

"We see ROI in extended support agreements (ESA) for old software. Migration activities seem to be where Turbonomic has really benefited us the most. It's one click and done. We have new machines ready to go with Turbonomic, which are properly sized instead of somebody sitting there with a spreadsheet and guessing. So, my return on investment would certainly be on currency, from a software and hardware perspective."

"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."

"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."

"I don't know the current prices, but I like how the licensing is based on the number of instances instead of sockets, clusters, or cores. We have some VMs that are so heavy I can only fit four on one server. It's not cost-effective if we have to pay more for those. When I move around a VM SQL box with 30 cores and a half-terabyte of RAM, I'm not paying for an entire socket and cores where people assume you have at least 10 or 20 VMs on that socket for that pricing."

More IBM Turbonomic pricing and cost advice

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Top Industries

By visitors reading reviews

Outsourcing Company

17%

Comms Service Provider

14%

Construction Company

12%

Computer Software Company

Financial Services Firm

14%

Manufacturing Company

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	57
Large Enterprise	147

Comparisons

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Compared 10% of the time

Red Hat CloudForms vs Cloudify

Compared 8% of the time

Tieto OneCloud vs Cloudify

Compared 7% of the time

CloudBolt vs Cloudify

Compared 4% of the time

Scalr vs Cloudify

Compared 3% of the time

More Cloudify Competitors

Densify vs IBM Turbonomic

Compared 4% of the time

VMware Aria Operations vs IBM Turbonomic

Compared 4% of the time

VMware Aria Automation vs IBM Turbonomic

Compared 3% of the time

Splunk Enterprise Security vs IBM Turbonomic

Compared 2% of the time

VMWare Tanzu CloudHealth vs IBM Turbonomic

Compared 2% of the time

More IBM Turbonomic Competitors

Product Reports

Buyer's Guide

Cloudify

November 2026

Download Cloudify product report

Buyer's Guide

IBM Turbonomic

October 2026

Download IBM Turbonomic product report

Also Known As

No data available

Turbonomic, VMTurbo Operations Manager

Interactive Demo

Demo not available

Cloudify

IBM

Overview

Cloudify offers seamless orchestration and infrastructure deployment across major cloud platforms such as AWS, Azure, and VMware. Its TOSCA-based standard provides flexibility and integration capabilities, making it an effective tool for multi-cloud operations and infrastructure-as-code management.

Cloudify's robust orchestration abilities are complemented by its ability to support major cloud providers and its ease of use in following templates. The extensibility through custom logic and plugins facilitates orchestrated startups, multi-cloud deployments, service chaining, and operational actions. Despite its strengths, users face challenges such as complex debugging, a steep learning curve when compared to Docker, and limited multitenancy features. There's a need for improvements in installation, event monitoring, error handling, simplified upgrades, and better plugin robustness. Connectivity issues, mobile app integration, and broader operating system support remain areas for development.

What are Cloudify's most important features?

Support for Major Cloud Providers: Integrates with AWS, Azure, VMware for streamlined deployments.
Template Following: Simplifies deploying infrastructure using standardized templates.
Orchestration Abilities: Manages complex operations efficiently across platforms.
Extensibility: Supports custom logic and plugins for specific requirements.
Infrastructure-as-Code: Provides high availability and easy management.

What benefits or ROI should users look for?

Flexibility: Enhances the ability to deploy across different cloud platforms.
Integration: Facilitates seamless orchestration and management of resources.
Operational Efficiency: Reduces deployment time and simplifies workflows.
Cost Reduction: Optimizes resources and minimizes redundant processes.
Customizability: Tailors deployments with custom logic to meet specific needs.

In industries like telecom, edge computing, and networking, Cloudify is essential for orchestrating complex deployments and infrastructure management. Organizations leverage its capabilities for CI/CD processes, system testing, and NVF-related tasks. It enables the deployment of REST applications, virtual machines, and private clouds using technologies like Tomcat, SaltStack, Kubernetes, and OpenStack, while communicating effectively with tools such as ServiceNow, PowerShell, Python, and PSQL.

Cloudify

IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.

IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.

What are the key features of IBM Turbonomic?

Automation: Automates workload placement and dynamic resource allocation to boost efficiency.
Capacity Planning: Provides scenario analysis and right-sizing for optimal resource use.
Customizable Dashboard: Offers tailored insights for organization needs.
Forecasting: Enhances decision-making through resource-use predictions.
Simulation Capabilities: Aids in assessing savings and performance gains.

What benefits and ROI should be evaluated?

Cost Optimization: Reduces spending on cloud and hardware resources.
Enhanced Performance: Promotes consistent application performance and resource efficiency.
Improved Decision-Making: Supports informed choices with scenario simulation.
Flexibility and Scalability: Assists with workload migrations and resource management across environments.

IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.

IBM

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.

Buyer's Guide

Cloudify vs. IBM Turbonomic

November 2026

Free Report: Cloudify vs. IBM Turbonomic

Find out what your peers are saying about Cloudify vs. IBM Turbonomic and other solutions. Updated: November 2026.

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