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BMC Helix Continuous Optimization vs IBM Kubecost comparison

BMC Helix and Apptio are both solutions in the Cloud Cost Management category. BMC Helix is ranked #37, while Apptio is ranked #14 with an average rating of 9.3. BMC Helix holds a 0.6% mindshare in CCM, compared to Apptio’s 0.4% mindshare. Additionally, 100% of BMC Helix users are willing to recommend the solution, compared to 100% of Apptio users who would recommend it.
BMC Helix Continuous Optimi...
Read 2 BMC Helix Continuous Optimization reviews
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  • 159 Comparison Views
100% willing to recommend
IBM Kubecost
Read 3 IBM Kubecost reviews
  • 359 Views
  • 43 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 1, 2025

BMC Helix Continuous Optimization and IBM Kubecost compete in the resource management sector, focusing on optimizing IT resources. BMC Helix has an advantage in support and pricing, while IBM Kubecost stands out with a robust feature set specifically for Kubernetes environments.

Features: BMC Helix Continuous Optimization provides advanced predictive analytics, capacity planning, and operational efficiency for enterprise-scale environments. IBM Kubecost offers precise cost allocation and monitoring, real-time cost insights, and transparency in Kubernetes environments.

Ease of Deployment and Customer Service: BMC Helix Continuous Optimization integrates seamlessly within existing infrastructure and is supported by strong customer service and a comprehensive support network. IBM Kubecost offers ease of deployment within Kubernetes environments with responsive support tailored to cloud-native needs, providing a streamlined experience for Kubernetes users.

Pricing and ROI: BMC Helix Continuous Optimization is more cost-effective with favorable setup costs and ROI, offering substantial long-term value for large enterprises. IBM Kubecost, although it has higher initial setup costs, delivers significant ROI through detailed cost insights and optimizations specific to Kubernetes environments, appealing to those focused on Kubernetes-specific applications.

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To learn more, read our detailed BMC Helix Continuous Optimization vs. IBM Kubecost Report (Updated: September 2025).
Buyer's Guide
BMC Helix Continuous Optimization vs. IBM Kubecost
September 2025
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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

BMC Helix Continuous Optimi...
Ranking in Cloud Cost Management
37th
Average Rating
10.0
Number of Reviews
2
Ranking in other categories
Infrastructure Capacity Planning (1st), IT Operations Analytics (26th)
IBM Kubecost
Ranking in Cloud Cost Management
14th
Average Rating
9.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Cloud Cost Management category, the mindshare of BMC Helix Continuous Optimization is 0.6%, up from 0.4% compared to the previous year. The mindshare of IBM Kubecost is 0.4%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Market Share Distribution
ProductMarket Share (%)
IBM Kubecost0.4%
BMC Helix Continuous Optimization0.6%
Other99.0%
Cloud Cost Management
 

Featured Reviews

Appperf677 - PeerSpot reviewer
Enables us to right-size systems to free up resources, and identify performance problems down to the process level
Since I already have a sneak peek into the next releases, I'm very happy about what's going to be included. I would like to see continued support for the legacy parts of the tool, the old, seasoned parts that are very valuable to me. That is a message I continue to give to BMC: All the new stuff's great, but don't take away this really important stuff. That's my biggest fear, that I might lose some of my old functionality that is still extremely valuable. I want to make sure we don't lose any functionality, and that they just still keep delivering on what they're doing. I don't have anything more to ask than what they're offering.
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DIRK UYTTERHOEVEN - PeerSpot reviewer
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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Quotes from Members

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

Pros

"Workload characterization is super important because it lets us figure things out. Many people know, for example, that with Microsoft Word, Word.exe is the executable. Everybody knows their executable, but they don't always know what it does. It also launches other things. This tool has the ability and insight to track those things, and to know: "Oh, you wanted this executable, but this one started this, so you must want this, too." And it tells you what it had to add, what it was using or was spawning."
"The most interesting feature is certainly the simulation of the load using different servers or different KPI parameters of the business."
"We ingest a ton of business data. We are an insurance company and we have business data, like how many quotes are done an hour, and how many policies are sold per hour. The correlation engine in the new TrueSight Capacity Optimization components are wonderful. We can do correlation analysis over months of data, and then we run models to tell our business: 'If you do 1,000 more quotes an hour, we're going to have to upgrade, and we're going to need this much more hardware.'"
"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 mostly like the dashboards."
 

Cons

"The memory management of Java application servers should be implemented to be able to size GC and footprint."
"Some of the data management is painful. Some of the new features haven't been implemented in quite the way I would like to get to levels of detail. For example, Visualizer parser doesn't take everything it should out of the Visualizer files. We've had to put in a work-around, but the work-around is not as accurate as what's in the file."
"There is a significant potential for enhancing it through the incorporation of advanced technologies like AI and generative AI."
"Faster monitoring could potentially improve overall stability in the production environment."
"The integration with other solutions could be improved."
 

Pricing and Cost Advice

"Right now, the licensing structure is by server. Everybody is licensed somewhat differently, depending on how big they are, how many licenses they have."
"The cost of the tool may seem nominal compared to the potential savings in infrastructure expenses."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Energy/Utilities Company
13%
Computer Software Company
13%
Media Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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What do you like most about Kubecost?
The price is reasonable, considering the value it delivers.
See all answers
What is your experience regarding pricing and costs for Kubecost?
The price is reasonable, considering the value it delivers. In all honesty, once you have your optimal design, you could just turn it off and then activate it maybe once every six months or once ev...
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What needs improvement with Kubecost?
In future releases, I would like to see faster monitoring because it could potentially improve overall stability in the production environment.
See all answers
 

Comparisons

IBM Turbonomic vs BMC Helix Continuous Optimization Logo
IBM Turbonomic vs BMC Helix Continuous Optimization
Compared 100% of the time
More BMC Helix Continuous Optimization Competitors
Infracost vs IBM Kubecost Logo
Infracost vs IBM Kubecost
Compared 100% of the time
More IBM Kubecost Competitors
 

Product Reports

Buyer's Guide
BMC Helix Continuous Optimization vs. DX Performance Management
September 2025
BMC Helix Continuous Optimization reportDownload BMC Helix Continuous Optimization product report
Buyer's Guide
Cloud Cost Management
September 2025
IBM Kubecost reportDownload IBM Kubecost product report
 

Also Known As

BMC Capacity Optimization, TrueSight Capacity Optimization, BMC Helix Optimize, BMC Helix Continuous Optimization
Kubecost - Amazon EKS cost monitoring
 

Overview

BMC Helix Continuous Optimization is a comprehensive performance and capacity management solution designed to help enterprises optimize IT resources, enhancing operational efficiency while managing costs effectively.

It provides predictive analytics and modeling capabilities, allowing businesses to meet evolving demands seamlessly. By proactively identifying resource constraints and predicting future trends, BMC Helix Continuous Optimization assists organizations in aligning IT resources with business objectives. This strategic approach ensures optimized performance, resource allocation, and cost management with enhanced insights.

What are the key features of BMC Helix Continuous Optimization?

  • Predictive Analytics: Utilizes advanced algorithms to forecast future resource requirements.
  • Capacity Planning: Facilitates strategic planning to manage capacity effectively.
  • Anomaly Detection: Identifies unusual patterns that could impact performance.
  • Customizable Dashboards: Provides insights with tailored views for better decision-making.

What benefits can be expected from BMC Helix Continuous Optimization?

  • Cost Reduction: Optimizes resource usage to lower operational costs.
  • Increased Efficiency: Enhances productivity by aligning resources with demand.
  • Improved Forecasting: Accurate predictions help with strategic planning.
  • Risk Mitigation: Early detection of performance issues reduces downtime.

BMC Helix Continuous Optimization is leveraged by industries like financial services, healthcare, and telecommunications to ensure resource efficiency. These sectors benefit from predictive modeling and capacity planning capabilities, enabling them to adapt to fast-changing conditions while maintaining optimal performance.

BMC Helix

Kubecost provides real-time cost visibility and insights for teams using Kubernetes, helping you continuously reduce your cloud costs.
Breakdown costs by any Kubernetes concepts, including deployment, service, namespace label, and more. View costs across multiple clusters in a single view or via a single API endpoint.
Receive dynamic recommendations for reducing spend without sacrificing performance. Prioritize key infrastructure or application changes for improving resource efficiency and reliability.
Quickly catch cost overruns and infrastructure outage risks before they become a problem with real-time notifications. Preserve engineering workflows by integrating with tools like Microsoft Teams and Slack.

Apptio
 

Sample Customers

Dilliard's
Information Not Available
Buyer's Guide
BMC Helix Continuous Optimization vs. IBM Kubecost
September 2025
Free Report: BMC Helix Continuous Optimization vs. IBM Kubecost
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