

IBM Turbonomic and Spot by Flexera are competing in the cloud optimization sector. Spot by Flexera is often viewed as having the upper hand due to its advanced features, which many users believe justify the cost compared to IBM Turbonomic.
Features: IBM Turbonomic provides strong resource management and automation capabilities, enhancing application performance control. It offers customizable dashboards and efficient workload placement. Spot by Flexera excels with its cost optimization and scalability features, including an intelligent autoscaling engine, container and Kubernetes management, and automated cost management, supporting dynamic workload handling in various cloud environments.
Room for Improvement: IBM Turbonomic could improve by offering better integration with multi-cloud environments, enhancing its documentation, and advancing capabilities in real-time cost management. Spot by Flexera could focus on simplifying deployment complexity, enhancing detailed reporting, and expanding FinOps capabilities to further optimize cost efficiency.
Ease of Deployment and Customer Service: IBM Turbonomic provides a straightforward deployment and proactive customer support aimed at reducing setup complexity. Spot by Flexera, while more complex initially, offers extensive documentation and multiple support channels to assist users, which is beneficial for comprehensive understanding and deployment.
Pricing and ROI: IBM Turbonomic is competitively priced with a fast ROI due to effective resource management and a quick setup process. Despite a potentially higher initial investment, Spot by Flexera offers notable long-term savings through its advanced cost-cutting features. Users perceive its value as superior due to substantial efficiency gains and cost reductions, particularly for strategic financial planning.
Our technology predicts demand, selects the cheapest instance mix, sizes the workloads appropriately, and scales it automatically based on policy, resulting in significant savings by reducing manual work and enhancing our flexibility, which has helped accelerate our deployments.
I have seen a return on investment as I was able to reduce my compute cost by 60 to 65% for some of my applications that needed light temporary processing tasks with ephemeral storage and stateless applications.
I would rate the customer support a nine out of ten.
Spot's scalability is quite good, and it can be expanded to multiple environments.
Continuously making advancements based on customer feedback.
More guided onboarding would help teams adopt advanced features faster.
Spot could be improved by adding features that help identify data to optimize storage costs by detecting datasets within our environment based on criteria such as age and usage.
The pricing is reasonable and convenient, and the value it offers is completely in line with what I am spending.
Spot's automated cost optimization works by continuously analyzing the workload and applying policies to minimize cloud spend without sacrificing performance.
My compute costs have reduced, capacity and production output have increased, and my overhead for maintaining custom scripts or doing some of the tasks manually has been saved.
One use case we plan to implement within the next few months is the overall commitment savings, which we used to manage manually, but with Spot, it automatically helps us detect when and what kind of instances to purchase, making it easier for us to manage our overall commitment for the savings plan.
| Product | Market Share (%) |
|---|---|
| IBM Turbonomic | 23.3% |
| Spot | 20.5% |
| Other | 56.2% |

| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
IBM Turbonomic offers automation, planning, and right-sizing recommendations to streamline resource management, improve efficiencies, and optimize costs across virtualized environments and cloud platforms.
IBM Turbonomic is valued for its capability to optimize resource allocation and monitor virtual environments efficiently. It facilitates automated decision-making in VM sizing, load balancing, and cost optimization for both on-premises and cloud deployments. Users can leverage insights for workload placement, ensure peak performance assurance, and effectively right-size across VMware and Azure. The ongoing transition to HTML5 aims to improve visual and navigational ease, while expanded reporting features are anticipated. Opportunities for improved training, documentation, and integrations enhance platform usability and functionality.
What Are the Key Features?In finance, IBM Turbonomic aids in maintaining platform efficiency during market fluctuations. Healthcare organizations leverage its capability for resource optimization during high-demand periods to enhance patient care support. Retailers use it for planning in peak seasons, ensuring resources align with fluctuating demand to maintain performance continuity.
Spot by Flexera provides automated cost optimization and container management with multi-cloud integration, achieving up to 70% savings and greater efficiency. It adapts to demand changes using AI-driven insights.
Spot enables organizations to optimize cloud infrastructure in environments such as Kubernetes, AKS, EKS, and AWS. It offers advanced automation features for managing resources, leading to reduced overhead and increased production output. Spot's intelligent autoscaling and node replacement capabilities enhance scalability and reliability. While the platform lacks some granularity in EKS Kubernetes insights, it remains stable and mature, helping organizations minimize costs and improve resource utilization. Opportunities for improvement include OCI support, more detailed multi-cloud integrations, and enhanced Kubernetes insights.
What features does Spot by Flexera offer?In industries heavily reliant on cloud-based services, Spot by Flexera is crucial for optimizing resource management and cost efficiency. Organizations leveraging Spot in sectors like technology and finance benefit from real-time optimization techniques and improved governance processes.
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