Cloudify vs IBM Turbonomic comparison

Cloudify and IBM are both solutions in the Cloud Management category. Cloudify is ranked #34, while IBM is ranked #4 with an average rating of 9.1. Cloudify holds a 1.6% mindshare in CM, compared to IBM’s 4.0% 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

996 Views
946 Comparison Views

100% willing to recommend

IBM Turbonomic

Read 205 IBM Turbonomic reviews

7,181 Views
3,662 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: February 2026).

Buyer's Guide

Cloudify vs. IBM Turbonomic

February 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

34th

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 (3rd), Virtualization Management Tools (4th), IT Financial Management (1st), IT Operations Analytics (5th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (11th)

Mindshare comparison

As of February 2026, in the Cloud Management category, the mindshare of Cloudify is 1.6%, down from 1.7% compared to the previous year. The mindshare of IBM Turbonomic is 4.0%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management Market Share Distribution
Product	Market Share (%)
IBM Turbonomic	4.0%
Cloudify	1.6%
Other	94.4%

Cloud Management

Featured Reviews

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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reviewer1446966

Senior Systems Engineer at a university with 1,001-5,000 employees

The solution reduced our operational expenditures and is able to identify points before we even noticed them

The management interface seems to be designed for high-resolution screens. Somebody with a smaller-resolution screen might not like the web interface. I run a 4K monitor on it, so everything fits on the screen. With a lower resolution like 1080, you need to scroll a lot. Everything is in smaller windows. It doesn't seem to be designed for smaller screens. When I change the resolution to 1080, I only see half of what I would on my big 4K monitor. It would be annoying to have to scroll to see the flow chart. They have a flow chart that goes top to bottom like a tree. On a lower resolution, it might be nice if that scrolls horizontally because it's long, narrow, and tall. It's only three icons wide, but it's 15 icons tall. I think it would be helpful to have the ability to change that for a smaller screen and customize the widget.

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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

"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."

"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."

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

"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."

More Cloudify pros

"Turbonomic has helped optimize cloud operations and reduced our cloud costs significantly. Overall, we are at about 40 percent savings, and we spend about three million a year just in Azure. It reduces the size of the VMs, putting them into the right template for usage. People don't realize that you don't have to future-proof a virtual machine in Azure. You just need to build it for today. As the business or service grows, you can scale up or out. About 90 percent of all the costs that we've reduced has been from sizing machines appropriately."

"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."

"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."

"The recommendation of the family types is a huge help because it has saved us a lot of money. We use it primarily for that. Another thing that Turbonomic provides us with is a single platform that manages the full application stack and that's something I really like."

"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."

"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.'"

"It has automated a lot of things. We have saved 30 to 35 percent in human resource time and cost, which is pretty substantial. We don't have a big workforce here, so we have to use all the automation we can get."

"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."

More IBM Turbonomic pros

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."

"The upgrading process could be simplified."

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

"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."

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

"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."

"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."

"The implementation could be enhanced."

"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."

"Since the introduction of a HTML 5 based interface, our main - but minor - criticism of a less than intuitive operation managers' GUI would be the area of improvement."

"We don't use Turbonomic for FinOps and part of the reason is its cost reporting. The reporting could be much more robust and, if that were the case, I could pitch it for FinOps."

"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

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."

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

"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."

"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."

"What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."

"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."

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

"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."

"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."

More IBM Turbonomic pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Comms Service Provider

Performing Arts

Financial Services Firm

10%

Computer Software Company

10%

Manufacturing Company

Insurance 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	41
Midsize Enterprise	57
Large Enterprise	147

Questions from the Community

Ask a question

Earn 20 points

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 ...

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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. This helps us get a consolidated view of all customer spending into a single d...

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Comparisons

Nutanix Cloud Manager (NCM) vs Cloudify

Compared 11% of the time

VMware Aria Automation vs Cloudify

Compared 10% of the time

Morpheus vs Cloudify

Compared 8% of the time

CloudBolt vs Cloudify

Compared 7% of the time

Red Hat CloudForms vs Cloudify

Compared 7% of the time

More Cloudify Competitors

VMware Aria Operations vs IBM Turbonomic

Compared 7% of the time

Densify vs IBM Turbonomic

Compared 7% of the time

Spot by Flexera vs IBM Turbonomic

Compared 4% of the time

IBM Kubecost vs IBM Turbonomic

Compared 4% of the time

VMWare Tanzu CloudHealth vs IBM Turbonomic

Compared 3% of the time

More IBM Turbonomic Competitors

Product Reports

Buyer's Guide

Cloudify

February 2026

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Buyer's Guide

IBM Turbonomic

February 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 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.

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

February 2026

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