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AWS Cost Explorer vs IBM Turbonomic comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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 Explorer
Ranking in Cloud Cost Management
15th
Average Rating
9.0
Reviews Sentiment
5.4
Number of Reviews
3
Ranking in other categories
Financial Data Analysis Platforms (3rd)
IBM Turbonomic
Ranking in Cloud Cost Management
3rd
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (2nd), Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (3rd), IT Operations Analytics (9th), Cloud Analytics (1st), AIOps (18th)
 

Mindshare comparison

As of November 2026, in the Cloud Cost Management category, the mindshare of AWS Cost Explorer is 2.9%, up from 2.6% compared to the previous year. The mindshare of IBM Turbonomic is 5.4%, down from 8.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
IBM Turbonomic5.4%
AWS Cost Explorer2.9%
Other91.7%
Cloud Cost Management
 

Featured Reviews

Chukwudi Uzoma - PeerSpot reviewer
Head Of IT, Infrastructure at a financial services firm with 5,001-10,000 employees
Improved cost visibility has supported data‑driven savings and faster anomaly investigations
The best features AWS Cost Explorer offers include cost and usage trend analysis, the cost forecasting feature, service-level spending breakdowns, the tags and cost allocation analysis, Savings Plans recommendations, Reserved Instances recommendations, and reservation coverage and utilization reports. I also appreciate being able to filter by account, service, region, tag, and cost category. The features that stand out for my workflow include cost and usage trend analysis, which I probably could not imagine working without because it really helps me follow the evolution of the different costs per account, per month over the entire year to be able to give useful information to management for possible commitment purposes and decision-making. Without this service or feature, it would be difficult. I particularly appreciate how quickly I can move from a high-level cost view to detailed analysis without requiring complex queries or external reporting tools. AWS Cost Explorer has positively impacted my organization by improving our cost visibility, enabling better financial accountability, and supporting data-driven optimization decisions. It also facilitates collaboration between the teams—engineering, finance, procurement, and leadership—by providing a common source of truth for cloud spending. While I cannot disclose confidential figures, AWS Cost Explorer has helped support cloud optimization initiatives that resulted in great annual savings opportunities through Savings Plans, Reserved Instances, and rightsizing initiatives. It has also reduced the time required to investigate our cost anomalies from hours to minutes. When I mention reduced investigation time from hours to minutes, the typical workflow before involved a team being lost, trying to reconcile where these costs have come from, what accounts have been involved, which services, and jumping from one account to another. For example, if leadership were to ask why AWS cost increased by twenty percent compared to the previous month, this investigation could take hours because you would need to review invoices, analyze usage reports, check which services had increased consumption, identify the affected accounts, and then contact engineering teams for context. However, AWS Cost Explorer streamlined this process significantly because it provides immediate visibility into cost trends. I can quickly compare the time periods, filter by service, account, region, tag, and cost category, and identify the primary drivers of the increase within minutes.
Dan Ambrose - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"AWS Cost Explorer is beneficial because you can access a simple interface where you can get an overview of all the costs you have in the cloud environment."
"AWS Cost Explorer has positively impacted my organization by improving our cost visibility, enabling better financial accountability, and supporting data-driven optimization decisions."
"I find the forecasting feature particularly valuable as it helps predict future expenses."
"Turbonomic is a great tool that seeks to optimize your IT environment."
"Customer Service is excellent; I have yet to open a ticket and not have my problem looked at right away, and 99% of the time, the issues were resolved right away."
"It has allowed our IT organization to keep investments in hardware flat for a projected three year period, and we have seen a 30% performance improvement overall."
"Turbonomics ability to present suggested improvements, and enact those changes upon approval, have been very helpful in our environment."
"We already had a good return in the first couple of weeks."
"The software is very cost effective, especially in comparison to other products."
"With Turbonomic, we were able to reduce our ESX cluster size and save money on our maintenance and license renewals, saving us around $75,000 per year with a one-time reduction of over $200,000 in VMware licensing, plus ongoing savings of probably $50,000 to $75,000 a year and a 25% reduction in human resource time and monitoring costs."
"I've found that the automation of moving VMs for resource allocation is second to none."
 

Cons

"One disadvantage of AWS Cost Explorer is that you cannot filter too much. You cannot filter data by more than one variable."
"The reason I would not give it a ten is that advanced analytics, forecasting, and reporting often require additional services, as I mentioned earlier, such as the CUR, Athena, Quicksight, or third-party FinOps platforms."
"While there is always room for improvement, any needs for enhancement depend on specific requirements at the time. Currently, I cannot pinpoint any specific improvements needed."
"Also reporting needs to be worked on, the lack of ability to edit a report has been a challenge."
"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."
"The arithmetic of optimizing the resources of VMs based on the workload. Some of workload are by a monthly basis. Need to consider the month-end or quarterly-end workload."
"There are a lot of preconfigured reports that can be ran within Turbonomics for some of the more common information needed. To do a custom report you have to create a SQL query string and add it as a report to gather custom information."
"Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."
"An option to remove unlicensed features from the dashboard would be welcome."
"It would be good for Turbonomic, on their side, to integrate with other companies like AppDynamics or SolarWinds or other monitoring software."
"Would like some better canned reports allowing for average utilization of VMs in the environment during a defined range of hours."
 

Pricing and Cost Advice

Information not available
"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."
"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it 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."
"Contact the Turbonomic sales team, explain your needs and what you're looking to monitor. They will get a pre-sales SE on the phone and together work up a very accurate quote."
"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."
"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."
"It is an endpoint type license, which is fine. It is not overly expensive."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Comms Service Provider
12%
Healthcare Company
10%
Insurance Company
7%
Financial Services Firm
13%
Manufacturing Company
8%
Construction Company
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise57
Large Enterprise147
 

Questions from the Community

What needs improvement with AWS Cost Explorer?
When discussing how AWS Cost Explorer can be improved, I would suggest that if they could incorporate more advanced forecasting capabilities, maybe stronger AI-driven optimization recommendations—e...
What is your primary use case for AWS Cost Explorer?
My primary use case for AWS Cost Explorer is cost visibility and optimization, and I use it to understand where cloud spend is occurring, identify spending trends, analyze cost drivers, evaluate co...
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Also Known As

Reserved Instance Reporting
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 AWS Cost Explorer vs. IBM Turbonomic and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.