AWS Compute Optimizer vs. IBM Turbonomic
A side-by-side comparison based on G2 review data.
| Metric | AWS Compute Optimizer | IBM Turbonomic |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 17 | 309 |
| Ease of use | 8.8 | 8.6 |
| Ease of setup | 9.5 | 8.5 |
| Quality of support | 9.0 | 9.1 |
| Meets requirements | 9.2 | 8.9 |
| NPS | 58.823529 | 61.324042 |
| Small Business | 41.2% | 23.5% |
| Mid-Market | 35.3% | 32.9% |
| Enterprise | 23.5% | 43.6% |
| Total page views | 77 | 1,109 |
| Total LLM citations | 29 | 4,400 |
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 Turbonomic
IBM Turbonomic, now part of the Concert platform, is a real-time application resource management platform designed to help users optimize and manage resources across hybrid and multi-cloud environments. This innovative solution continuously analyzes application performance and resource utilization, automating critical resourcing decisions to ensure optimal application performance while minimizing costs associated with cloud and infrastructure resources. IBM Turbonomic addresses the challenges of managing complex, dynamic environments.
- Cost Optimization
- Automation
- Ease of Use
- Performance
- Real-time Monitoring
- Cost Efficiency