Try our new research platform with insights from 80,000+ expert users

AWS Cost Management [EOL] 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

AWS Cost Management [EOL]
Average Rating
8.2
Number of Reviews
10
Ranking in other categories
No ranking in other categories
IBM Turbonomic
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (7th), Cloud Management (5th), Virtualization Management Tools (4th), IT Financial Management (1st), IT Operations Analytics (4th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (7th)
 

Featured Reviews

RANJAN KUMAR - PeerSpot reviewer
Helps to set cost thresholds and receive alerts if the actual cost exceeds them
We regularly check the status of services to identify any unnecessary or unexpected costs. We utilize the billing dashboard in AWS to monitor daily costs and assess any significant increases. For instance, if our daily AWS expenses usually amount to $1,000 for running a hundred instances, and suddenly it spikes to $1,500, we investigate the reasons behind the increase. We scrutinize detailed reports, identify the areas and services contributing to the rise, and inform our manager. The dashboard overview in AWS Cost Explorer provides a high-level summary of our expenses, covering databases. This includes total costs, daily costs, and a breakdown by services. AWS Cost Explorer offers visualization tools like line charts, bar charts, and pie charts. These visualizations assist us in quickly understanding expenditures, enabling us to pinpoint areas that might need attention. The tool allows the creation of custom reports by selecting and configuring filtering and grouping options. Custom reports include a data range selector, making it easy to analyze expenses for specific periods such as daily, monthly, or custom durations. The budget feature is client-dependent. Before creating any services, we engage with our client to understand their requirements, such as the number of instances, CPU, and memory needed. Subsequently, we create a budgeting tool in servers based on these specifications. Our team configures custom notifications to alert us when actual costs or usage exceed predefined thresholds. These alerts can be sent via email or integrated with Simple Notification Service. I rate the overall product a ten out of ten.
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

"The stability and scalability are good."
"With the cost management tool, clients can optimize fine tuning their consumption."
"I like the recommendation we get from AWS Cost Management to use a particular image or VM type."
"AWS Cost Management is good for providing in-depth information in one place."
"The initial setup was straightforward. It's not complex at all."
"The budgeting tool of AWS Cost Management is the most valuable feature."
"All of the reporting features are very good, as they allow us to track monthly expenses and send relevant emails."
"The product provides the ability to set cost limits and budgets for a set of resources on the network."
"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."
"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."
"The system automatically sizes and moves resources based on the needs of the applications."
"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 most important feature to us is an objective measurement of VM headroom per cluster. In addition, the ability to check for the right-sizing of VMs."
"We like that Turbonomic shows application metrics and estimates the impact of taking a suggested action. It provides us a map of resource utilization as part of its recommendation. We evaluate and compare that to what we think would be appropriate from a human perspective to that what Turbonomic is doing, then take the best action going forward."
"I like the analytics that help us optimize compatibility. Whereas Azure Advisor tells us what we have to do, Turbonomic has automation which actually does those things. That means we don't have to be present to get them done and simplifies our IT engineers' jobs."
"The biggest value I'm getting out of VMTurbo right now is the complete hands-off management of equalizing the usage in my data center."
 

Cons

"We need finer-grained control over the roles and policies for users, specifying their permissions as to what they can look at."
"Data transfer between S3 buckets within AWS incurs costs, especially when moving data from one bucket to another or downloading data."
"The solution needs to improve the communication mechanism available to the stakeholders."
"AWS Cost Management has fewer features compared to Azure Cost Management."
"AWS could improve the compatibility with other products."
"I would like to see AWS Cost Management be more precise in their calculations."
"There could be an option to build custom dashboards for the platform."
"The solution needs to have its own dashboard for seeing details on it. It should be customizable as well so I have the ability to pull up the information I need to see and have it in one place for my reference. I should just be able to click and see everything I need in one step."
"The planning and costing areas could be a little bit more detailed. When you have more than 2,000 machines, the reports don't work properly. They need to fix it so that the reports work when you use that many virtual machines."
"Additional interfaces would be helpful."
"Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."
"Recovering resources when they're not needed is not as optimized as it could be."
"The way it handles updates needs to be improved."
"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."
"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."
"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."
 

Pricing and Cost Advice

"We get AWS Cost Management for free because we use AWS services."
"We have signed a long-term contract with AWS. There are different service levels that will determine the level of support you have."
"The product is affordable."
"AWS Cost Management is free to use."
"The tool's pricing depends on our services."
"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."
"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."
"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'm not involved in any of the billing, but my understanding is that is fairly expensive."
"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."
"It is an endpoint type license, which is fine. It is not overly expensive."
"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."
report
Use our free recommendation engine to learn which Cloud Cost Management solutions are best for your needs.
868,787 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise5
Large Enterprise4
By reviewers
Company SizeCount
Small Business41
Midsize Enterprise57
Large Enterprise147
 

Questions from the Community

What do you like most about AWS Cost Management?
The tool's cost management feature provides a comprehensive view of AWS costs, allowing us to plan and make cost-effective decisions. With AWS Cost Explorer, we can perform cost planning, generate ...
What needs improvement with AWS Cost Management?
Data transfer between S3 buckets within AWS incurs costs, especially when moving data from one bucket to another or downloading data.
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...
 

Comparisons

No data available
 

Also Known As

Amazon Cost Management
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Hess, Expedia, Kelloggs, Philips, HyperTrack
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, Microsoft and others in Cloud Cost Management. Updated: September 2025.
868,787 professionals have used our research since 2012.