IBM Kubecost is a self-hosted Kubernetes cost visibility and optimization platform that provides real-time insights to help teams reduce cloud spend and scale cost efficiently.
$449
per month 100 nodes
NetApp BlueXP
Score9.1 out of 10
N/A
NetApp BlueXP Classification (formerly NetApp Cloud Data Sense) uses artificial intelligence-driven technology to provide data governance across the entire data estate. Users can pinpoint cost-savings, identify compliance and privacy concerns, and find optimization opportunities.
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.
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
NetApp Cloud Data Sense (Cloud Compliance) is an AI algorithm that improves the way you interact with your data. We have used Cloud Compliance and it is effective and suited in Automatic discovery, mapping, and classification of all data. It simplifies discovery, classification, and labeling with powerful automation. It gives an accurate list of data sources, has a great analysis feature. We also used it to handle data in discernment. Cloud Compliance is appropriate and effective in all professional tech settings, from SBO to high industrial performance.
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
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
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
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
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
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
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.
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
In contrast to others, NetApp Cloud Data Sense is driven by more powerful AI algorithms that have given space for efficient automated controls and reporting that enables users full privilege over their data. The automatic discovery is trusted, with maps and data classification. Then others analyze well, structured and unstructured data in the cloud, also visualize data better.
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
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
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
