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

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

"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)."

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

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

"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."

"It's easy to create a cloud server, such as Linux with JBoss or WebSphere, which is good for continuous deployment."

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

"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."

More Cloudify pros

"This has saved us a great deal of expenses by better balancing workloads across ESXi hosts."

"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."

"Limits the amount of time I have to spend staring at a screen to find bottlenecks and slowdowns in my virtual environment."

"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."

"I have the ability to automate things similar to the Orchestrator stuff. I do have the ability to have it do some balancing, and if it sees some different performance metrics that I've set not being met, it'll actually move some of my virtual machines from, let's say, one host to another. It is sort of an automation tool that helps me. Basically, I specify the metric, and if I get a certain host or something being over-utilized, it'll automatically move the virtual machines around for me. It basically has to snap into my vCenter and then it can make adjustments and move my virtual machines around. It also has some very nice reporting tools built around virtual machines. It tells you how much storage, memory, or CPU is being used monthly, and then it gives you a very nice way to be able to send out billing structure to your end users who use servers within your environment."

"We have seen a 30% performance improvement overall."

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

"Definitely try this if you have a huge virtual infrastructure, it has become a staple in our environment."

More IBM Turbonomic pros

Cons

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

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

"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."

"It lacked the user interface for multitenancy and basic platform management tasks."

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

"The upgrading process could be simplified."

"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)."

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

More Cloudify cons

"The reporting needs to be improved. It's important for us to know and be able to look back on what happened and why certain decisions were made, and we want to use a custom report for this."

"Reports could be more versatile."

"VM level granularity on some of the automation actions such as adding memory/CPU. That would allow an admin to schedule the exact time for the specific action for any given VM."

"The appliance interface doesn’t list the features/capabilities that licenses can be purchased for, so unless you were directly involved in the negotiations, there is no way to tell what feature set you have."

"Regular upgrades and patching requires a period of getting used to the new environment before getting hands-on with the tool."

"The deployment process is a little tricky. It wasn't hard for me because I have pretty in-depth knowledge of Kubernetes, and their software runs on Kubernetes. To deploy it or upgrade it, you have to be able to follow steps and use the Kubernetes command line, or you'll need someone to come in and do it for you."

"There is an area where new workloads can be created and placed. I've had trouble with that feature and find it easier to create new machines directly in vCenter and let it get the address by Turbonomic after the fact."

"GUI can be more user friendly."

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."

"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."

"I have not seen Turbonomic's new pricing since IBM purchased it. When we were looking at it in my previous company before IBM's purchase, it was compatible with other tools."

"I consider the pricing to be high."

"The product is fairly priced right now. Given its capabilities, it is excellently priced. We think that the product will become self-funding because we will be able to maximize our resources, which will help us from a capacity perspective. That should save us money in the long run."

"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."

"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."

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

VMware Aria Automation vs Cloudify

Compared 9% 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 4% 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

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