IBM Kubecost vs. Profound

We have a Kubernetes cluster spread across multiple cloud providers, including AWS, Google, and Azure. Kubecost consolidates data from all the providers and gives us insights. So instead of jumping between individual dashboards, Kubecost shows everything in one place. It helps us in right-sizing the cluster, which directly saves us costs. Although it gives us cluster insights, we still need to take action manually. It also provides insight into the Kube cluster only, but actual costs depend on other components as well, including databases, storage, etc.

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Profound is a great AEO platform, with so much information and insights available around what competitors are doing and what prospects are searching for, and how we are cited. The down side is also just too much information and without enough resources or a full time person using the platform, it's difficult to know what to prioritize

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• Show namespace level cost and usage
• Allow rightisizibg At namespace level
• Show effectiveness of current resources allocation

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• I think there is room for improvement in IBM Kubecost if you Streamline IBM Kubecost more with AWS cost explorer

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Our engineers liked the devops dashboard and the initial deployment was very fast which meant the cost-allocation data was available right after deployment which the team further customized and enhanced based on our needs. Version 3.0 fixed a lot of concerns with the backend responsiveness, especially when running heavy multi-cluster api calls

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Profound tracks A LOT of data, which is great, but it can also be overwhelming to look at/digest all the raw data without their internal measurements.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Among competitors, IBM Kubecost offers deeper insights into cluster metrics. It offers the highest data privacy, as the data stays in your private infrastructure. Although it can't provide Non-K8s cost insights, it still offers some insights based on tags, which is better than any other product.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Semrush is much more mature for SEO but lacks the focus needed to be effective for AEO. Because Profound is build for AEO from the ground up, all of the associated features are optimized to be useful for AEO (for example focusing purely on topic visibility). SEMRush's AI Search tools feel a bit muddled in the system they have set up for SEO

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Given that we are going through a cloud transformation journey, IBM Kubecost has helped reduce the infra cost by up to 20% by detecting any wrong configuration early in the process
• It also helped us determine the idle and orphaned resources that we could cleanup to save costs

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info