Azure Arc vs. AWS Compute Optimizer
A side-by-side comparison based on G2 review data.
| Metric | Azure Arc | AWS Compute Optimizer |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 29 | 17 |
| Ease of use | 8.8 | 8.8 |
| Ease of setup | 7.9 | 9.5 |
| Quality of support | 8.9 | 9.0 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 66.666667 | 58.823529 |
| Small Business | 29.6% | 41.2% |
| Mid-Market | 40.7% | 35.3% |
| Enterprise | 29.6% | 23.5% |
| Total page views | 101 | 77 |
| Total LLM citations | 107 | 29 |
Azure Arc
For customers who want to simplify complex and distributed environments across on-premises, edge and multicloud, Azure Arc enables deployment of Azure services anywhere and extends Azure management to any infrastructure.
AWS Compute Optimizer
AWS Compute Optimizer is a service that leverages machine learning to analyze the configuration and utilization metrics of your AWS resources, such as Amazon EC2 instances, Amazon EBS volumes, AWS Lambda functions, and Amazon ECS services on Fargate. It provides actionable recommendations to help you rightsize your resources, enhancing performance and reducing costs by up to 25%. By evaluating your workload patterns, Compute Optimizer identifies under-provisioned or over-provisioned resources and suggests optimal configurations to meet your performance and capacity requirements.
- Ease of Use
- Recommendations
- Dashboards