AWS Compute Optimizer vs. IBM Cloudability
A side-by-side comparison based on G2 review data.
| Metric | AWS Compute Optimizer | IBM Cloudability |
|---|---|---|
| Overall rating | 4.4 | 4.2 |
| Review count | 17 | 216 |
| Ease of use | 8.8 | 8.4 |
| Ease of setup | 9.5 | 8.1 |
| Quality of support | 9.0 | 8.5 |
| Meets requirements | 9.2 | 8.5 |
| NPS | 58.823529 | 42.325581 |
| Small Business | 41.2% | 14.4% |
| Mid-Market | 35.3% | 18.9% |
| Enterprise | 23.5% | 66.7% |
| Total page views | 77 | 1,266 |
| Total LLM citations | 29 | 7,257 |
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
IBM Cloudability
IBM Cloudability is built to support the organizational adoption of FinOps—the cultural practice and operational process of bringing financial accountability to the scalable, variable, and distributed nature of cloud and related costs. Its enterprise-grade FinOps features enable IT, finance, and business teams to optimize cloud, AI and Kubernetes costs and communicate the business value of these investments. Cloudability normalizes and structures billing and usage data from across public cloud ecosystems.
- Ease of Use
- Cost Management
- Insights
- Reporting
- Cost Tracking
- Recommendations