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.

| Product | Market Share (%) |
|---|---|
| IBM Turbonomic | 1.0% |
| Dynatrace | 16.4% |
| Datadog | 14.8% |
| Other | 67.8% |
| Type | Title | Date | |
|---|---|---|---|
| Category | AIOps | Feb 5, 2026 | Download |
| Product | Reviews, tips, and advice from real users | Feb 5, 2026 | Download |
| Comparison | IBM Turbonomic vs Datadog | Feb 5, 2026 | Download |
| Comparison | IBM Turbonomic vs Dynatrace | Feb 5, 2026 | Download |
| Comparison | IBM Turbonomic vs ServiceNow IT Operations Management | Feb 5, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Veeam Data Platform | 4.3 | N/A | 94% | 430 interviewsAdd to research |
| Dynatrace | 4.4 | 16.4% | 95% | 358 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 44 |
| Large Enterprise | 111 |
| Company Size | Count |
|---|---|
| Small Business | 682 |
| Midsize Enterprise | 288 |
| Large Enterprise | 1381 |
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.
IBM Turbonomic was previously known as Turbonomic, VMTurbo Operations Manager.
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
| Author info | Rating | Review Summary |
|---|---|---|
| Infrastructure Engineer 4 at a tech vendor with 1,001-5,000 employees | 5.0 | I use IBM Turbonomic to optimize our 28 on-premises data centers and AWS environment, improving resource management and cost savings. It features auto-scaling capabilities and helps predict cost impacts. However, a user-friendly interface would enhance the experience. |
| Senior Systems Engineer at a university with 1,001-5,000 employees | 4.5 | No summary available |
| Senior Member of Tech Staff at a manufacturing company with 5,001-10,000 employees | 4.0 | We primarily used IBM Turbonomic for VM rightsizing in Azure and AWS, finding its real-time recommendations valuable. While it reduced OPEX, I suggested adding more cloud services. The supportive team and conservative algorithm made it preferable over others. |
| Senior Director of Middleware Hosting Technology at a financial services firm with 10,001+ employees | 4.5 | Turbonomic helps us understand resource usage and automate decisions to optimize costs, outperforming tools like Apptio Cloudability. Its AI and machine learning features effectively identify and fix issues, providing seamless integration with APM systems for enhanced cloud management. |
| Solution Architect DC at Natilik | 4.5 | I provide IBM Turbonomic to clients for its ease of use and holistic platform. While effective, it could improve solution agnosticism and cost-saving methods for cloud applications. It compares favorably against VMware solutions in client-specific scenarios. |
| Infrastructure Engineer at a manufacturing company with 5,001-10,000 employees | 5.0 | We automated IBM Turbonomic to optimize resource usage across hosts and ensure efficient VM placement and sizing, but its storage recommendations could improve. Despite not calculating ROI, we find Turbonomic essential for cost-effective cloud and on-premise operations. |
| Vice President at a financial services firm with 5,001-10,000 employees | 3.0 | We use IBM Turbonomic to optimize costs and resource efficiency and appreciate its analytics and automation. However, improvements are needed in customer education and feature expansion to better support PaaS optimization and Azure Databricks usage. |
| Chief Information Officer at a government with 501-1,000 employees | 4.5 | No summary available |