Skip to content
SPECIFICTION
Get listed

CAST AI vs Krossboard

CAST AI

cast.ai

Krossboard

krossboard.app

Side by side

FigureCAST AIKrossboard
Price from—Free
Free plan—Yes
Free trialYes—
Open source—Yes
WebYesYes
Linux—Yes
API—Yes
Self-hostedYesYes
Plans published13
Spec score · Kubernetes Cost Management Software7.7 (#8)8.7 (#2)
IntegrationsThe integrations page lists Grafana, Terraform, Crossplane, Prometheus, Jira, OpenTelemetry, Helm, and Pulumi.The documentation names Google BigQuery, AWS Athena, Azure Synapse, Tableau and Microsoft Excel as external tools suitable for exported data.

Plans

CAST AI

  • Custom quotePriced on request

CAST AI pricing →

Krossboard

  • ALWAYS FREEFree
  • ENTERPRISEPriced on request
  • ENTERPRISE ADVANCEDPriced on request

Krossboard pricing →

In their own words

CAST AI

CAST AI is an Application Performance Automation platform for cloud-native operations and Kubernetes automation. It automates workload rightsizing, node scaling, GPU and Spot optimization, and issue remediation. Rightsizing adjusts CPU and memory requests, limits, and replicas in response to workload behavior. The platform says its engine can predict Spot interruptions up to 30 minutes ahead and migrate workloads before a slowdown. Agentic runbooks can address operational and security issues, with approval required for each change before it ships.

Teams can connect clusters in read-only mode without infrastructure changes. Listed environments include AWS, Google Cloud, Azure, Oracle Cloud, IBM Cloud, OpenShift, Rancher, VMware Tanzu, AliCloud, kOps, PostgreSQL, MySQL, and on-prem Kubernetes. Cost tools include allocation, spend forecasting, rightsizing guidance, and commitment management. CAST AI integrates with tools including Grafana, Terraform, Prometheus, Jira, and Pulumi. It is available on the web and as self-hosted software. Pricing is custom and available on request; a free trial is available.

Visit cast.ai

Krossboard

Krossboard tracks Kubernetes cluster usage to help teams allocate costs and plan capacity. It can analyze multiple clusters configured through one or more KUBECONFIG files, with analytics for namespaces, nodes, and clusters. Views can be consolidated across minutes, hours, days, and months, and backing analytics data can be exported as CSV. Cost forecasting is available, with allocation at namespace granularity. The Kubernetes Operator deploys and manages Krossboard instances as pods; each deployed instance provides a UI and REST API. Krossboard is offered for web, API, and self-hosted use. Its free plan costs nothing and includes unlimited clusters, core analytics, and CSV export. It does not include discovery of managed AKS, EKS, or GKE clusters or support. Enterprise plans add managed-cluster discovery; Enterprise includes one year of access to maintained versions for bug and security fixes, while Enterprise Advanced offers up to three years and specific onboarding support. The maker is 2Alchemists SAS, based in Toulouse, France.

Visit krossboard.app