

IBM Turbonomic and AWS Control Tower compete in the cloud resource management and automation space. IBM Turbonomic offers advantages in customer support and operational cost savings, while AWS Control Tower excels in security and compliance management, offering lower initial costs.
Features: IBM Turbonomic offers automated resource allocation, smart analytics, and VM rightsizing for optimizing IT environments. AWS Control Tower provides multi-account management, centralized authentication, and custom guardrails enhancing security across various AWS accounts.
Room for Improvement: IBM Turbonomic should improve its dashboard interface and reporting flexibility, as users desire a friendlier GUI and more customizable reports. AWS Control Tower needs better guardrails, enhanced SAP policies, and stability improvements, alongside better integration with third-party DevOps tools.
Ease of Deployment and Customer Service: IBM Turbonomic is notable for its use in hybrid cloud environments and strong customer support, often lauded for a proactive technical team. AWS Control Tower focuses on public and hybrid clouds, offering good support but requiring faster issue resolution; it stands behind IBM Turbonomic in client engagement feedback.
Pricing and ROI: IBM Turbonomic, with a higher initial cost, often gives quicker ROI through infrastructure optimization and staffing efficiencies. It offers a flexible licensing model allowing users to decide on costs based on feature needs. AWS Control Tower offers a cost-effective pay-as-you-go model, suitable for organizations with varying resource demands, yielding long-term cost management benefits despite lower initial spending.
It is beneficial because it is totally managed by AWS, meaning I do not have to worry about scalability or durability.
The solution is scalable enough; it just has limitations in terms of commercial pricing.
It is a stable solution managed by AWS.
It is important that the system syncs automatically instead of requiring me to manually choose sync options.
It is free and does not incur additional charges.
The unified security management is a crucial aspect, and whenever an AWS organization is used, Control Tower is typically included to ensure comprehensive compliance fulfillment.
| Product | Market Share (%) |
|---|---|
| IBM Turbonomic | 4.0% |
| AWS Control Tower | 1.6% |
| Other | 94.4% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
AWS Control Tower offers the easiest way to set up and govern a new, secure, multi-account AWS environment. It establishes a landing zone that is based on best-practices blueprints, and enables governance using guardrails you can choose from a pre-packaged list.
IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.
IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.
What are the key features of IBM Turbonomic?IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.
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