Updated
October 5, 2026
Compare AWS Cost Management and Harness CMA for multi-cloud cost optimization, Kubernetes costs, and automated savings.
Feature Comparison
| Feature | Harness | AWS Cost Management |
|---|---|---|
| Solution | ||
| Deployment options | SaaS + Self-managed | SaaS only or limited |
| Multi-cloud support (AWS + Azure + GCP) | ||
| On-premises cost monitoring | ||
| Pricing model | % of cloud spend | |
| Cost Visibility | ||
| Cost Perspectives / Chargeback / Showback | ||
| Cost categories (dynamic bucketing) | ||
| Kubernetes cost allocation (node/cluster/workload) | ||
| Multi-cloud cost visualizations | ||
| Import 3rd-party costs (Datadog, Snowflake, etc.) | ||
| Snowflake Visibility | ||
| Microsoft Databricks Visibility | ||
| Out-of-the-box dashboards | ||
| Custom BI dashboards | ||
| Cost forecasting | ||
| Cloud asset inventory | ||
| Cost Optimization | ||
| Anomaly detection (AI/ML) | ||
| Automated idle resource management (AutoStopping) | Up to 70% savings | |
| Spot instance orchestration | ||
| Cluster orchestration on spot instances | Up to 90% savings | |
| Kubernetes node-pool recommendations | ||
| Kubernetes workload recommendations | ||
| AWS compute recommendations | ||
| Azure compute recommendations | ||
| GCP compute recommendations | ||
| RI/SP planning and recommendations | ||
| Automated RI/SP contract execution | ||
| Snowflake Recommendations | ||
| Microsoft Azure DataBricks Recommendations | ||
| Governance | ||
| Out-of-the-box governance policy rules | ||
| Automated governance rule enforcement | ||
| AI-assisted governance rule creation | ||
| Budgets | ||
| Alerts | ||
| Reporting | ||
| Administrative | ||
| Multi-currency support | ||
| MSP margin adjustments | ||
| Role-based access control | ||
| Full audit trails | ||
| APIs available | ||
| 24/7 support | ||
| Training resources | ||
| Documentation | ||
Key Differentiators
What Harness CMA adds beyond AWS native cost tools
Cloud AutoStopping — automated idle resource savings
Harness Cloud AutoStopping automatically detects and stops idle non-production resources (VMs, EKS clusters, RDS instances) and restarts them on demand. Teams typically save 60–70% on non-production cloud costs with no engineer action required.
Most cost tools provide recommendations for idle resources but require engineers to manually act on them. The savings potential exists on paper but is rarely realized in practice.
Deep Kubernetes cost allocation
Harness provides granular Kubernetes cost allocation by namespace, workload, label, and team — plus node rightsizing recommendations and Cluster Orchestrator for spot-based cost reduction up to 90%.
AWS Cost Management supports allocating shared Kubernetes cluster costs via Split cost allocation data for Amazon EKS pods, but lacks Harness's automated node rightsizing recommendations and Spot-based Cluster Orchestrator.
Automated Reserved Instance and Savings Plan management
Harness Commitment Orchestration analyzes usage patterns and automatically purchases and manages RI/SP contracts across accounts — capturing discounts of up to 60% on compute without manual analysis.
RI/SP management is typically manual — teams analyze usage, estimate future needs, and purchase commitments with significant risk of over- or under-commitment.
True multi-cloud cost management
Harness CMA provides a single unified view across AWS, Azure, GCP, and on-premises costs — with Cost Perspectives that let teams create custom cost groupings spanning all cloud providers.
Native cloud tools (AWS, Azure, GCP billing consoles) only report their own cloud costs. Getting a unified view across providers requires manual data aggregation or expensive third-party ITFM tools.
Decision Guide
AWS Cost Management is good for
- Your entire infrastructure is on AWS with basic cost reporting needs
- You want a free tool with native AWS console integration
Harness is best for
- You run workloads on multiple cloud providers beyond AWS
- Kubernetes cost allocation by team or namespace is required
- You want automated idle resource management and RI optimization
- AI-powered governance and enforcement are needed
Summary
AWS Cost Explorer shows you the problem. Harness CMA solves it.
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