IBM Kubecost vs Ivanti Autonomous Endpoint Management comparison

IBM and Ivanti are both solutions in the Cloud Cost Management category. IBM is ranked #24, while Ivanti is ranked #19 with an average rating of 7.8. Additionally, 100% of IBM users are willing to recommend the solution, compared to 96% of Ivanti users who would recommend it.

IBM Kubecost

Read 3 IBM Kubecost reviews

2,713 Views
1,411 Comparison Views

100% willing to recommend

Ivanti Autonomous Endpoint ...

Read 34 Ivanti Autonomous Endpoint Management reviews

7,317 Views
293 Comparison Views

96% willing to recommend

IBM Kubecost

Ivanti Autonomous Endpoint ...

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Executive SummaryUpdated on Aug 4, 2026

IBM Kubecost and Ivanti Autonomous Endpoint Management compete in cost management for Kubernetes environments and endpoint management, respectively. IBM Kubecost seems to have the upper hand in cost optimization capabilities, while Ivanti excels in feature-rich endpoint management.

Features: IBM Kubecost provides real-time visibility and insights into Kubernetes costs, optimizing resource spending. It achieves cloud expenditure savings by offering resource efficiency analysis and anomaly detection. Ivanti Autonomous Endpoint Management offers automation capabilities, extensive control over device management, and policy enforcement, enhancing security and operational consistency. The key contrast lies in IBM's focus on cost efficiency versus Ivanti's versatile endpoint management capabilities.

Ease of Deployment and Customer Service: IBM Kubecost integrates seamlessly within Kubernetes environments, utilizing existing cloud-native capabilities to simplify deployment. It benefits from inherent cloud-native compatibility, enhancing user adoption. On the other hand, Ivanti Autonomous Endpoint Management supports diverse endpoint infrastructures with a comprehensive deployment model. It is backed by robust customer service, ensuring adaptability across various endpoint ecosystems and ensuring deployment success and user satisfaction.

Pricing and ROI: IBM Kubecost offers a competitive pricing structure, making it attractive for businesses seeking to optimize cloud expenses. Its ROI is realized through tangible cloud cost reductions. Ivanti Autonomous Endpoint Management, although possibly incurring higher initial setup costs, promises significant ROI through enhanced endpoint control and security features, delivering long-term value through improved operational efficiency. IBM Kubecost is preferred for cost savings, while Ivanti provides a holistic value proposition through comprehensive endpoint management benefits.

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Cloud Cost Management

July 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

IBM Kubecost

Ranking in Cloud Cost Management

24th

Average Rating

9.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Ivanti Autonomous Endpoint ...

Ranking in Cloud Cost Management

19th

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

IT Asset Management (8th), Vulnerability Management (25th), Mobile Device Management (MDM) (6th), Enterprise Mobility Management (EMM) (5th), Mobile Threat Defense (5th), Patch Management (5th), Attack Surface Management (ASM) (18th), Unified Endpoint Management (UEM) (6th), Application Security Posture Management (ASPM) (8th), Autonomous Endpoint Management (4th)

Featured Reviews

DIRK UYTTERHOEVEN

Senior Enterprise Architect at DV Consulting

Identifies and eliminates overprovisioning of expensive resources like storage, highly scalable and offers performance

I like the overall product because I can select what monitoring should be enabled and whatnot. In our case, we really focus on performance because it's clear that the price is related to most performance setups. So the more performance, the more expensive. So we look into the performance that the customer needs, and then based upon that feedback from the remote control, we change the parameters. And even the end user will not notice it is not using it, so we just make money without any impact on the end users.

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reviewer2882148

Director at a tech vendor with 501-1,000 employees

Automated onboarding has saved hundreds of hours and now standardizes device security globally

In terms of how Ivanti Neurons for UEM can be improved, I think there's potential for automation of some repetitive tasks. The device provisioning process has already become very close to zero-touch, but the patch deployment is still scheduled and policy-driven. As a result, I believe we can reduce endpoint administration further. I also think the number of integrations and the scalability of the tool can be improved, along with customer service, as we've encountered some issues in certain countries. Regarding the needed improvements, particularly concerning integrations or customer service challenges, we have had problems with integration with some third-party tools requiring additional configuration and testing. Occasionally, we also experienced delays between systems, particularly with user group changes and device compliance updates. The accuracy and reliability of output from Ivanti's AI can be improved. We notice that the AI-driven insights are useful, but there are anomalies and some false positives. Since we are still in a validation period, I cannot provide a definitive mark, but I believe that accuracy should be enhanced, especially for more complex and environment-specific issues where human intervention is still needed.

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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

"I mostly like the dashboards."

"It offers a detailed examination of your cluster, including the types of instances utilized, allocated CPU and RAM, and resource distribution for specific applications."

"The price is reasonable, considering the value it delivers."

"I like the product's Peer to Peer patching feature."

"The most valuable features are device management and support for upgrading applications."

"I experience every day how the unified platform has really optimized IT and security operations processes since patch management automatically patches the vulnerabilities."

"The technical support from Ivanti is good."

"We can set a maintenance window and push the patch."

"The products are quite good when they are operational."

"Ivanti Patch is far better than other solutions."

"The security features in Ivanti Neurons for MDM are very effective, which is why we have been distributing it for the past 15 years."

More Ivanti Autonomous Endpoint Management pros

Cons

"Faster monitoring could potentially improve overall stability in the production environment."

"The integration with other solutions could be improved."

"There is a significant potential for enhancing it through the incorporation of advanced technologies like AI and generative AI."

"I tried to be a partner of Ivanti and, from this vantage point, the quotes are, perhaps, a bit high."

"Customers sometimes ask about non-existent features, and we pass these requests on to Ivanti."

"There are times when there is an update that causes some issues. These issues should be sorted out before the release."

"In terms of improvements for Ivanti Neurons for UEM, the only challenge I face with EPM Endpoint Manager is in scanning network devices, as some devices appear without a serial number, which is an issue that takes more time since customers often require the serial number as a mandatory field."

"I would also like to see more integrations, plugins, and user-friendly automation, similar to the multiple integration scripts that Rapid7 has."

"I also found the UI to be quite complicated to work with, so it takes quite a bit of time to train any new staff and to get them to understand how the solution works."

"The biggest improvement I would like to see in Ivanti Neurons for UEM is a more intuitive interface with simpler navigation for common tasks."

"From my perspective of having just moved away from the product, I would probably give it a six."

More Ivanti Autonomous Endpoint Management cons

Pricing and Cost Advice

"The real savings come from using Kubecost features like autoscaling and serverless functions to optimize your resource usage. If you treat it like a data center migration without fine-tuning, it might cost more."

"The cost is cheap. Kubecost has an open-source core."

"The cost of the tool may seem nominal compared to the potential savings in infrastructure expenses."

"The solution is affordable."

"The license can get expensive if you have a lot of nodes."

"The price of MobileIron UEM is very good."

"For the one that works with SCCM, it is relatively inexpensive at $8 USD per node, yearly. The standalone product has two versions; the one that patches servers is about $45 USD annually and the version that patches workstations is about half that price at $22 USD."

"While the price is a bit high, it may be equitable with the features one gets with the product, such as that involving the interface."

"The solution is expensive compared to other products."

"My impression is that MobileIron is very expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Construction Company

14%

Insurance Company

11%

Manufacturing Company

10%

Financial Services Firm

Comms Service Provider

Manufacturing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	9
Large Enterprise	21

Questions from the Community

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What is your experience regarding pricing and costs for Ivanti Neurons for UEM?

Regarding pricing, I would say Ivanti Neurons for UEM falls at a nine out of ten.

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What needs improvement with Ivanti Neurons for UEM?

The price being quite high and the limited container storage are areas that have room for improvement.

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What is your primary use case for Ivanti Neurons for UEM?

I use Ivanti Neurons for UEM for mobile device management, and I can describe the use case. The remote device management feature has helped our remote work strategy because manual intervention is n...

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Compared 4% of the time

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Product Reports

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Cloud Cost Management

July 2026

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Ivanti Autonomous Endpoint Management

August 2026

Ivanti Autonomous Endpoint Management report

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Also Known As

Kubecost - Amazon EKS cost monitoring

Ivanti Neurons for Patch Management,Ivanti Neurons for RBVM,Ivanti Neurons for VULN KB,Ivanti Mobile Threat Defense,Ivanti Neurons for Spend Intelligence, Ivanti Neurons Patch for Intune, Ivanti Neurons for EASM

Interactive Demo

Demo not available

IBM

Ivanti

Overview

IBM Kubecost offers precise cost visibility for Kubernetes environments, enabling organizations to track and optimize cloud spend. Designed to address the financial management of Kubernetes deployments, it seamlessly integrates within existing infrastructures.

IBM Kubecost empowers users by delivering clear insights into Kubernetes cost allocation, resource utilization, and financial efficiency. With comprehensive reporting capabilities, it serves as an essential tool for managing cloud financial health. Tailored to meet enterprises' specific needs, it provides actionable recommendations, helping businesses make informed decisions on resource allocation and scaling, ultimately ensuring cost-effective cloud resource management.

What are the key features of IBM Kubecost?

Cost Visibility: Users can view detailed breakdowns of costs associated with each Kubernetes namespace, deployment, and service.
Cost Allocation: Accurate allocation of costs allows users to distribute them across teams and projects efficiently.
Budget Management: Set and track budgets to prevent overspending and promote strategic financial planning.
Recommendations: Actionable insights into optimizing resources, enhancing efficiency, and reducing costs.

What are the benefits or ROI of using IBM Kubecost?

Cost Efficiency: Better visibility into cloud spending helps reduce unnecessary expenses.
Scalability: Facilitates scalable solutions by understanding cost impacts of scaling up or down.
Informed Decision-Making: Empowers businesses to allocate resources based on detailed cost analysis and spend forecasts.
Increased Transparency: Improves cross-department transparency regarding cloud expenditure, fostering accountability.

IBM Kubecost is widely implemented in financial services, healthcare, and tech industries where controlling cloud expenses is critical. It facilitates precise budget management and cost allocation that is essential for financial institutions. In healthcare, it helps maintain transparency and efficiency in handling patient data and services. Tech companies leverage its functionalities to optimize large-scale cloud deployments where cost precision is necessary for sustainable growth.

IBM

Ivanti Autonomous Endpoint Management leverages AI-powered automation for comprehensive endpoint control. It offers centralized management, real-time visibility, efficient patch deployment, and supports diverse operating systems.

Ivanti Autonomous Endpoint Management integrates AI-driven automation, providing a unified dashboard for streamlined IT operations. Its features include efficient patch management and real-time device monitoring, enhancing IT security and compliance. While comprehensive, improvements in dashboard simplicity, third-party integration, and AI feature clarity are desired. It serves multiple operating systems for seamless operation across various devices, and while effective, enhancements in UI navigation and reporting are suggested. Companies find it vital for centralized device management, compliance enforcement, and automated IT task handling.

What are the most important features?

AI-powered Automation: Reduces manual work through intelligent automation.
Centralized Management: Unified control of devices from a single interface.
Real-time Visibility: Instant access to device status and operations.
Efficient Patch Management: Prioritizes and automates patch deployments.
Neurons Bots: Automates complex IT processes, enhancing efficiency.

What benefits or ROI should users look for?

Time Savings: Automation reduces manual task duration significantly.
Improved Compliance: Ensures security protocol adherence with ease.
Streamlined Operations: Centralized management simplifies IT workflows.
Enhanced Security: Effective patch management reduces vulnerability risks.
Device Health Monitoring: Supports continuous oversight of device status.

In industries like finance, education, and healthcare, Ivanti Autonomous Endpoint Management is deployed for managing diverse device environments. It's used for securing sensitive data, ensuring compliance in regulated industries, and optimizing IT service desk operations. Its capabilities aid in provisioning devices and maintaining an up-to-date inventory, crucial for sectors with stringent security requirements.

Ivanti

Sample Customers

Information Not Available

Frontier Airlines

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July 2026

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