AWS Compute Optimizer vs. IBM Turbonomic
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
AWS Compute Optimizer | Score8 out of 10 | N/A | AWS Compute Optimizer recommends optimal AWS Compute resources for workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Over-provisioning compute can lead to unnecessary infrastructure cost and under-provisioning compute can lead to poor application performance. Compute Optimizer helps users choose the optimal Amazon EC2 instance types, including those that are part of an Amazon EC2 Auto Scaling group, based on utilization data. | N/A |
IBM Turbonomic | Score9.3 out of 10 | Enterprise companies (1,001+ employees) | IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by cloud, infrastructure operations, and architecture to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions. One of the key features of IBM Turbonomic is its ability to continuously adjust application resources in real time. By monitoring resource utilization and application performance,… | N/A |
| AWS Compute Optimizer | IBM Turbonomic | |||||||||||||||
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| Editions & Modules | No answers on this topic |
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| Offerings |
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| Entry-level Setup Fee | No setup fee | Optional | ||||||||||||||
| Additional Details | — | Volume discounting available. | ||||||||||||||
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| Cloud Management |
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| AWS Compute Optimizer | IBM Turbonomic | |
|---|---|---|
| Likelihood to Recommend | 8.0 | 7.8 |
| Likelihood to Renew | - | 9.0 |
| Usability | - | 8.0 |
| Availability | - | 10.0 |
| Performance | - | 8.0 |
| Support Rating | - | 8.0 |
| In-Person Training | - | 8.2 |
| Online Training | - | 10.0 |
| Implementation Rating | - | 9.7 |
| Configurability | - | 10.0 |
| Contract Terms and Pricing Model | - | 9.1 |
| Ease of integration | - | 8.0 |
| Product Scalability | - | 10.0 |
| Professional Services | - | 10.0 |
| Vendor post-sale | - | 10.0 |
| Vendor pre-sale | - | 10.0 |