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AWS Savings Plans vs IBM Turbonomic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 2, 2025

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 Savings Plans
Ranking in Cloud Cost Management
8th
Average Rating
9.4
Reviews Sentiment
7.0
Number of Reviews
3
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 (5th), Cloud Management (4th), Virtualization Management Tools (2nd), IT Financial Management (1st), IT Operations Analytics (4th), Cloud Analytics (1st), AIOps (5th)
 

Mindshare comparison

As of March 2025, in the Cloud Cost Management category, the mindshare of AWS Savings Plans is 1.5%, down from 4.1% compared to the previous year. The mindshare of IBM Turbonomic is 14.7%, up from 14.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management
 

Featured Reviews

Raul G. Cortina - PeerSpot reviewer
Flexible and a good solution for user with different environments
The setup was generally easy. The most complex aspect was configuring the VPN. While not overly difficult, it was more challenging compared to setting up other VPNs. However, once we resolved the initial VPN configuration issue, everything has been smooth sailing. It's a matter of familiarity. Initially, the technology is unfamiliar, but with experience, configuration becomes easier. Deployment time: We didn't have any problems. We determined the implementation date, considered the transition for ourselves and our users, and it went smoothly. Maintenance: There isn't much required. If the stability, resolution, and capacity planning are correct for our needs, or if we need to expand storage, then maintenance is mostly handled by our banking team.
Keldric Emery - PeerSpot reviewer
Saves time and costs while reducing performance degradation
It's been a very good solution. The reporting has been very, very valuable as, with a very large environment, it's very hard to get your hands on the environment. Turbonomic does that work for you and really shows you where some of the cost savings can be done. It also helps you with the reporting side. Me being able to see that this machine hasn't been used for a very long time, or seeing that a machine is overused and that it might need more RAM or CPU, et cetera, helps me understand my infrastructure. The cost savings are drastic in the cloud feature in Azure and in AWS. In some of those other areas, I'm able to see what we're using, what we're not using, and how we can change to better fit what we have. It gives us the ability for applications and teams to see the hardware and how it's being used versus how they've been told it's being used. The reporting really helps with that. It shows which application is really using how many resources or the least amount of resources. Some of the gaps between an infrastructure person like myself and an application are filled. It allows us to come to terms by seeing the raw data. This aspect is very important. In the past, it was me saying "I don't think that this application is using that many resources" or "I think this needs more resources." I now have concrete evidence as well as reporting and some different analytics that I can show. It gives me the evidence that I would need to show my application owners proof of what I'm talking about. In terms of the downtime, meantime, and resolution that Turbonomic has been able to show in reports, it has given me an idea of things before things happen. That is important as I would really like to see a machine that needs resources, and get resources to it before we have a problem where we have contention and aspects of that nature. It's been helpful in that regard. Turbonomic has helped us understand where performance risks exist. Turbonomic looks at my environment and at the servers and even at the different hosts and how they're handling traffic and the number of machines that are on them. I can analyze it and it can show me which server or which host needs resources, CPU, or RAM. Even in Azure, in the cloud, I'm able to see which resources are not being used to full capacity and understand where I could scale down some in order to save cost. It is very, very helpful in assessing performance risk by navigating underlying causes and actions. The reason why it's helpful is because if there's a machine that's overrunning the CPU, I can run reports every week to get an idea of machines that would need CPU, RAM, or additional resources. Those resources could be added by Turbonomic - not so much by me - on a scheduled basis. I personally don't have to do it. It actually gives me a little bit of my life back. It helps me to get resources added without me physically having to touch each and every resource myself. Turbonomic has helped to reduce performance degradation in the same way as it's able to see the resources and see what it needs and add them before a problem occurs. It follows the trends. It sees the trends of what's happening and it's able to add or take away those resources. For example, we discuss when we need to do certain disaster recovery tests. Over the years, Turbo will be able to see, for example, around this time of year that certain people ramp up certain resources in an environment, and then it will add the resources as required. Another time of year, it will realize these resources are not being used as much, and it takes those resources away. In this way, it saves money and time while letting us know where we are. We've saved a great deal of time using this product when I consider how I'd have to multiply myself and people like me who would have to add resources to devices or take resources away. We've saved hundreds of hours. Most of the time those hours would have to be after hours as well, which are more valuable to me as that's my personal time. Those saved hours are across months, not years. I would consider the number of resources that Turbonomic is adding and taking away and the placement (if I had to do it all myself) would end up being hundreds of hours monthly that would be added without the help of Turbonomic. It helps us to meet SLAs mainly due to the fact that we're able to keep the servers going and to keep the servers in an environment, to keep them to where (if we need to add resources) we can add them at any given time. It will keep our SLAs where they need to be. If we were to have downtime due to the fact that we had to add resources or take resources away and it was an emergency, then that would prevent us from meeting our SLAs. We also use it to monitor Azure and to monitor our machines in terms of the resources that are out there and the cost involved. In a lot of cases, it does a better job of giving us cost information than Azure itself does. We're able to see the cost per machine. We're able to see the unattached volume and storage that we are paying for. It gives us a great level of insight. Turbonomic gives us the time to be able to focus on innovation and ongoing modernization. Some of the tasks that it does are tasks that I would not necessarily have to do. It's very helpful in that I know that the resources are there where they need to be and it gives me an idea of what changes need to be made or what suggestions it's making. Even if I don't take them, I'm able to get a good idea of some best practices through Turbonomic. One of the ways that Turbonomic does to help bring new resources to market is that we are now able to see the resources (or at least monitor the resources) before they get out to the general public within our environment. We saw immediate value from the product in the test environment. We set it up in a small test environment and we started with just placement and we could tell that the placement was being handled more efficiently than what VMware was doing. There was value for us in placement alone. Then, after we left the placement, we began to look at the resources and there were resources. We immediately began to see a change in the environment. It has made the application and performance better, mainly due to the fact that we are able to give resources and take resources away based on what the need is. Our expenses, definitely, have been in a better place based on the savings that we've been able to make in the cloud and on-prem. Turbonomic has been very helpful in that regard. We've been able to see the savings easily based on the reports in Turbonomic. That, and just seeing the machines that are not being used to capacity allows us to set everything up so it runs a bit more efficiently.

Quotes from Members

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

Pros

"The initial setup is very easy."
"The most valuable feature of AWS Savings Plans is we can discuss budgets briefly during our confirmation process since we are aware of our usual consumption patterns. Creating budgets in this regard would be beneficial, as it would allow us to consume only what we need, without including reserve instances that do not serve our purpose."
"AWS is consistently innovating and releasing new products and features."
"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."
"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."
"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."
"The automation and orchestration components are definitely the best part, as you can tell it what it can do and when, and just let it be."
"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 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."
"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."
"The proactive monitoring of all our open enrollment applications has improved our organization. We have used it to size applications that we are moving to the cloud. Therefore, when we move them out there, we have them appropriately sized. We use it for reporting to current application owners, showing them where they are wasting money. There are easy things to find for an application, e.g., they decommissioned the server, but they never took care of the storage. Without a tool like this, that storage would just sit there forever, with us getting billed for it."
 

Cons

"The visibility of AWS Savings Plans could improve."
"The most complex aspect was configuring the VPN."
"In the future, it would be interesting if there could be a combination of Savings Plans and some Reserved Servers."
"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."
"Recovering resources when they're not needed is not as optimized as it could be."
"Some features are only available via changes to the deployment YAML, and it would be better to have them in the UI."
"Additional interfaces would be helpful."
"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."
"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."
"Remove the need for special in-house knowledge and development."
"There is room for improvement [with] upgrades. We have deployed the newer version, version 8 of Turbonomic. The problem is that there is no way to upgrade between major Turbonomic versions. You can upgrade minor versions without a problem, but when you go from version 6 to version 7, or version 7 to version 8, you basically have to deploy it new and let it start gathering data again. That is a problem because all of the data, all of the savings calculations that had been done on the old version, are gone. There's no way to keep track of your lifetime savings across versions."
 

Pricing and Cost Advice

"Compared to Azure or Google, the solution is much cheaper."
"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."
"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."
"Everybody tells me the pricing is high. But the ROIs are great."
"It's worth the time and money investment if you can afford it."
"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."
"Price is a big one. VMTurbo was very competitively priced."
"IBM Turbonomic is an investment that we believe will deliver positive returns."
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Manufacturing Company
17%
Financial Services Firm
14%
Educational Organization
9%
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about AWS Savings Plans?
The most valuable feature of AWS Savings Plans is we can discuss budgets briefly during our confirmation process since we are aware of our usual consumption patterns. Creating budgets in this regar...
What is your experience regarding pricing and costs for AWS Savings Plans?
We have a fixed cost of five thousand, plus an additional six thousand per month. So, it is about seventy-two thousand annually. Compared to Azure or Google, the solution is much cheaper. Moreover,...
What needs improvement with AWS Savings Plans?
AWS make it easier to configure the VPN,
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

 

Also Known As

No data available
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about AWS Savings Plans vs. IBM Turbonomic and other solutions. Updated: March 2025.
842,651 professionals have used our research since 2012.