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CAST AI vs IBM Turbonomic comparison

 

Comparison Buyer's Guide

Executive Summary

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

CAST AI
Ranking in Cloud Cost Management
39th
Average Rating
8.6
Reviews Sentiment
9.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
IBM Turbonomic
Ranking in Cloud Cost Management
1st
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (3rd), Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (1st), IT Operations Analytics (10th), Cloud Analytics (1st), AIOps (16th)
 

Mindshare comparison

As of June 2026, in the Cloud Cost Management category, the mindshare of CAST AI is 1.6%, down from 1.9% compared to the previous year. The mindshare of IBM Turbonomic is 5.9%, down from 12.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
IBM Turbonomic5.9%
CAST AI1.6%
Other92.5%
Cloud Cost Management
 

Featured Reviews

Udit Parekh - PeerSpot reviewer
DevOps Engineer at Veefin
Automation has optimized our kubernetes costs and continuously improves cluster efficiency
CAST AI has positively impacted our organization because we are now able to control our Kubernetes costs, and the automated node provisioning continuously monitors our application usage to select which node to provision, ensuring the application has sufficient compute power and improving our cluster efficiency. In terms of cost savings, we have currently reduced our costs by 30 to 40%, and it saves time while managing infrastructure because it continuously monitors and provides the nodes to the application, so we don't need to do anything ourselves. This is a fully automated process. Additionally, manual intervention has decreased significantly because this is a completely automated process.
reviewer1446966 - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"In terms of cost savings, we have currently reduced our costs by 30 to 40%, and it saves time while managing infrastructure because it continuously monitors and provides the nodes to the application, so we don't need to do anything ourselves."
"Since using CAST AI, we have achieved approximately 30 to 40 percent reduction in our Kubernetes infrastructure cost."
"Turbonomic gives us insight and assurance that we are meeting operational targets."
"My favorite part of the solution is the automation scheduling. Being able to choose when actions happen, and how they happen..."
"Turbonomic is fantastic at scalability! It has great built in tools to plan scaling."
"We have saved money on licensing and availability of our applications."
"The auto resource leveling on my hyper-v cluster saves my staff so much time on monitoring and performance tuning."
"Allowing Turbonomic to take over for vCenter DRS has shown a marked decrease in vMotion of virtual machines to keep our cluster resources balanced."
"Customer Service: Probably the best customer service I have ever encountered."
"Right-sizing and right-balancing VMs and hosts used to be an ongoing, tedious, and time consuming effort. With Turbonomic, it does that work for me so I can focus my attention on other priorities."
 

Cons

"To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies."
"The limitations of CAST AI include reporting and customization options."
"The planning and costing areas could be a little bit more detailed."
"It does not fully understand our DR/SRM (active/standby) infrastructure as we have hosts with nothing on them."
"User interface could use a bit of tweaking."
"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."
"GUI interface is not as slick as VMware."
"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."
"The UI is a little dated."
"Had issues trying to get Windows 2012 R2 Hyper-V hosts attached to Turbonomic. This required more effort as there are some changes to be made on WMI configurations."
 

Pricing and Cost Advice

Information not available
"Price is a big one. VMTurbo was very competitively priced."
"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."
"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."
"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."
"It's worth the time and money investment if you can afford it."
"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."
"IBM Turbonomic is an investment that we believe will deliver positive returns."
"I'm not involved in any of the billing, but my understanding is that is fairly expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business41
Midsize Enterprise57
Large Enterprise147
 

Questions from the Community

What is your experience regarding pricing and costs for CAST AI?
In terms of setup cost, licensing, and pricing, I find the experience good. It's enterprise-grade, and the pricing is usage-based with no heavy upfront setup cost, which makes the onboarding straig...
What needs improvement with CAST AI?
The documentation of CAST AI can definitely be improved for first-time users. When we are onboarding a new user, the team needs some time to tune the policies and build confidence in automation bec...
What is your primary use case for CAST AI?
Our main use case for CAST AI is that we use it as a cloud provider and for Kubernetes clusters. We are using secure access roles and all those requirements for right-sizing the containers' workloa...
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

Information Not Available
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about IBM, Nutanix, Apptio and others in Cloud Cost Management. Updated: May 2026.
899,324 professionals have used our research since 2012.