

IBM Turbonomic and New Relic compete in IT optimization and application performance monitoring. IBM Turbonomic appears to have an advantage in automation and resource allocation, enhancing efficiency and performance, while New Relic excels in application monitoring with detailed insights and debugging capabilities.
Features: IBM Turbonomic provides automation, capacity planning, and intelligent resource allocation. New Relic offers real-time monitoring, error tracing, and customizable dashboards.
Room for Improvement: IBM Turbonomic could improve dashboard customization, user interface, and third-party integration. New Relic could enhance alerting, data retention, and offer reduced pricing for smaller businesses.
Ease of Deployment and Customer Service: IBM Turbonomic supports on-premises, hybrid, and private cloud deployments with strong customer service. New Relic focuses on public and hybrid cloud support, with responsive customer service, especially during implementations.
Pricing and ROI: IBM Turbonomic offers flexible licensing and competitive pricing, often realizing ROI within months. New Relic is robust but criticized for higher costs, especially for smaller businesses, despite significant application visibility and performance improvements.
There is return on investment because since we reduced the downtime, we can definitely save a lot of money within that period.
There is a definite return on investment for New Relic, as we would not have invested in building its infrastructure if there were no returns.
After implementing New Relic, we have decreased staffing requirements while saving time and money.
If I drop an email to them, they will respond quickly to my email.
Customer support from New Relic is very good, and we rarely need to create support tickets.
They are very polite and helped him out.
We currently use New Relic for tens of thousands of developers and hundreds of teams within our organization, and we have not encountered any scalability issues.
It is also suitable for cloud native architectures, SaaS, or software as a service, and for high volume data ingestion also.
Regarding New Relic's scalability, it excels at the enterprise level for cloud integrations that can utilize tags.
New Relic lags sometimes.
New Relic is stable based on my experience, as I have not seen any problems with the UI.
If they could improve the customer support by reducing their SLA within three to five days, if they could remediate everything, that will be so much helpful.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
Because of the pricing model, organizations have experienced uncontrolled costs and were not able to afford New Relic.
Considering the features New Relic offers, the pricing or cost setup has not been a blocker for our budget.
My experience with pricing, setup cost, and licensing for synthetic monitoring is that minions used to cost a lot.
As we talk about pricing, it is not that much cheaper.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
New Relic is very useful for teams that don't have much of a dedicated DevOps team but want to have observability for their platform, and it's an easy way to get started.
New Relic has positively impacted our organization by reducing errors, improving performance, and saving time.
| Product | Mindshare (%) |
|---|---|
| New Relic | 8.1% |
| IBM Turbonomic | 3.7% |
| Other | 88.2% |


| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 52 |
| Large Enterprise | 80 |
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.
New Relic offers comprehensive server and application performance monitoring features, empowering organizations with real-time insights and customizable dashboards for efficient issue resolution.
Possessing robust capabilities, New Relic provides in-depth application data, allowing users to trace and diagnose issues efficiently. Its powerful API integration enables seamless performance improvement tracking. Despite certain areas for improvement like configuration handling and pricing, New Relic remains a preferred choice for application performance monitoring, server monitoring, and infrastructure management, facilitating end-to-end observability and enhancing application health.
What are New Relic's key features?In sectors like finance and e-commerce, New Relic is utilized for real-time performance monitoring, allowing businesses to identify bottlenecks, manage infrastructure effectively, and ensure seamless user experiences. By tracking API response times and monitoring databases, companies improve performance and user satisfaction through better observability and synthetic monitoring.
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