Finout vs IBM Turbonomic comparison

Finout and IBM are both solutions in the Cloud Cost Management category. Finout is ranked #15 with an average rating of 9.0, while IBM is ranked #1 with an average rating of 9.1. Finout holds a 1.0% mindshare in CCM, compared to IBM’s 6.3% mindshare. Additionally, 100% of Finout users are willing to recommend the solution, compared to 98% of IBM users who would recommend it.

Finout

Read 1 Finout review

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255 Comparison Views

100% willing to recommend

IBM Turbonomic

Read 205 IBM Turbonomic reviews

7,181 Views
3,016 Comparison Views

98% willing to recommend

Finout

IBM Turbonomic

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Executive Summary

We performed a comparison between Finout and IBM Turbonomic based on real PeerSpot user reviews.

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To learn more, read our detailed Cloud Cost Management Report (Updated: January 2026).

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Cloud Cost Management

January 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

Finout

Ranking in Cloud Cost Management

15th

Average Rating

9.0

Reviews Sentiment

6.0

Number of Reviews

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 (4th), IT Financial Management (1st), IT Operations Analytics (5th), Cloud Analytics (1st), AIOps (11th)

Mindshare comparison

As of February 2026, in the Cloud Cost Management category, the mindshare of Finout is 1.0%, down from 1.1% compared to the previous year. The mindshare of IBM Turbonomic is 6.3%, down from 14.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Cost Management Market Share Distribution
Product	Market Share (%)
IBM Turbonomic	6.3%
Finout	1.0%
Other	92.7%

Cloud Cost Management

Featured Reviews

reviewer2795433

Enterprise Cloud Operations Lead at a tech vendor with 10,001+ employees

Unified cloud cost views have improved anomaly detection and enabled proactive budget control

The right sizing feature is okay. It could be used, but I feel its functionality isn't as strong as the cloud-native solutions, so GCP, AWS, and Azure. They all have better right sizing capabilities, so you probably wouldn't carry out right sizing from Finout. You'd want to do it directly in the cloud platforms. The right sizing feature needs more development. Also, the reservations analysis feature isn't quite detailed enough as it should be. If you're making purchasing decisions based off of a cloud tool, it's probably better right now to do it directly through the cloud-native tooling rather than through Finout. Those are the two features where I feel they could be improved. It's a great tool, but it does have those two areas of improvement in the right sizing and the reservation sections. If those sections were functioning very well and were very deep, then I would give it a ten out of ten.

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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.

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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

"In terms of money saved, organizations could very easily save anywhere from ten to thirty percent of their cloud costs."

"The solution has a good optimization feature."

"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."

"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 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."

"Rightsizing is valuable. Its recommendations are pretty good."

"It also brings up a list of machines and if something is under-provisioned and needs more compute power it will tell you, 'This server needs more compute power, and we suggest you raise it up to this level.' It will even automatically do it for you. In Azure, you don't have to actually go into the cloud provider to resize. You can just say, 'Apply these resizes,' and Turbonomic uses some back-end APIs to make the changes for you."

"The notifications saying, "This is a corrective action," even though some of them can be automated, are always welcome to see. They summarize your entire infrastructure and how you can better utilize it. That is the biggest feature."

"It is a good holistic platform that is easy to use. It works pretty well."

More IBM Turbonomic pros

Cons

"The right sizing feature is okay. It could be used, but I feel its functionality isn't as strong as the cloud-native solutions, so GCP, AWS, and Azure."

"It would be good for Turbonomic, on their side, to integrate with other companies like AppDynamics or SolarWinds or other monitoring softwares. I feel that the actual monitoring of applications, mixed in with their abilities, would help. That would be the case wherever Turbonomic lacks the ability to monitor an application or in cases where applications are so customized that it's not going to be able to handle them. There is monitoring that you can do with scripting that you may not be able to do with Turbonomic."

"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."

"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."

"The issue for us with the automation is we are considering starting to do the hot adds, but there are some problems with Windows Server 2019 and hot adds. It is a little buggy. So, if we turn that on with a cluster that has a lot of Windows 2019 Servers, then we would see a blue screen along with a lot of applications as well. Depending on what you are adding, cores or memory, it doesn't necessarily even take advantage of that at that moment. A reboot may be required, and we can't do that until later. So, that decreases the benefit of the real-time. For us, there is a lot of risk with real-time."

"There is an opportunity for improvement with some of Turbonomic's permissions internally for role-based access control. We would like the ability to come up with some customized permissions or scope permissions a bit differently than the product provides."

"Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."

"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."

"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."

More IBM Turbonomic cons

Pricing and Cost Advice

Information not available

"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."

"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."

"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."

"Everybody tells me the pricing is high. But the ROIs are great."

"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."

"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."

"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."

"I consider the pricing to be high."

More IBM Turbonomic pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

10%

Computer Software Company

10%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	41
Midsize Enterprise	57
Large Enterprise	147

Questions from the Community

What needs improvement with Finout?

See all answers

What is your primary use case for Finout?

Our use case is integrating cloud costs from a multi-cloud estate to have one pane of glass for cost visibility. We use it for reports, but there's also other functionality that we've liked using, ...

See all answers

What advice do you have for others considering Finout?

I would recommend them to use it. It's a good tool. The company is still quite new and young, but they're rapidly developing, and their support is great. The Finout team seemed like they could be f...

See all answers

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 ...

See all answers

What needs improvement with Turbonomic?

The implementation could be enhanced.

See all answers

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...

See all answers

Comparisons

Cloudability vs Finout

Compared 47% of the time

PointFive vs Finout

Compared 35% of the time

AWS Cost Explorer vs Finout

Compared 18% of the time

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VMware Aria Operations vs IBM Turbonomic

Compared 7% of the time

Densify vs IBM Turbonomic

Compared 6% of the time

Spot by Flexera vs IBM Turbonomic

Compared 5% of the time

IBM Kubecost vs IBM Turbonomic

Compared 4% of the time

Cloudability vs IBM Turbonomic

Compared 4% of the time

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Product Reports

Buyer's Guide

Cloud Cost Management

January 2026

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Buyer's Guide

IBM Turbonomic

January 2026

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Also Known As

No data available

Turbonomic, VMTurbo Operations Manager

Interactive Demo

Demo not available

Finout

IBM

Overview

Finout efficiently optimizes cloud cost management for tech-savvy users by transforming financial data into actionable insights.

Finout provides comprehensive solutions for managing cloud costs. It delivers detailed cost transparency and optimized resource allocation, enabling you to effectively manage and interpret financial data. Its platform integrates seamlessly with existing systems, offering analytics and granular cost breakdowns to enhance budgeting and forecasting accuracy. Users gain enhanced cost visibility across multiple cloud services.

What are the key features of Finout?

Cost Allocation: Provides detailed breakdowns of spending by service, team, or project, ensuring accurate financial tracking.
Budgeting Tools: Offers proactive budget alerts and dynamic resource recommendations, enhancing financial control.
Custom Dashboards: Interactive dashboards visualize data for better expense management and insights discovery.

What benefits should users anticipate?

Cost Savings: Efficient budgeting and allocation lead to reduced unnecessary expenses.
Improved Forecasting: Better prediction accuracy with detailed insights into usage patterns and trends.

Finout finds applications in industries like SaaS, where managing cloud spend is crucial. Its analytics assist in optimizing costs in fast-paced environments and regulating budget allocations to meet dynamic business demands. The platform's adaptability facilitates integration into varied industry workflows, ensuring efficient cloud expense management.

Finout

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

Information Not Available

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.

Buyer's Guide

Cloud Cost Management

January 2026

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