I really appreciate the ease of use and the frequency of use—it’s become part of our daily workflow. The number of features is impressive, and the platform’s recommendations make resource management much simpler. Ease of integration with our existing systems also saves us a lot of time, and the customer support has been very responsive whenever we had questions. Review collected by and hosted on G2.com.

One thing I find a bit challenging about IBM Turbonomic is that there can be a learning curve for new users. It’s very powerful, but it takes some time to fully understand all the features and how to get the most out of them. Review collected by and hosted on G2.com.

What I like best about IBM Turbonomic is its ability to automatically analyze real-time application demand and continuously make resource allocation decisions without manual intervention. It doesn't just generate alerts—it takes action based on policies, helping maintain performance while reducing overprovisioning and unnecessary cloud costs. The platform provides deep visibility across hybrid and multi-cloud environments and integrates seamlessly with tools like Kubernetes, VMware, Azure, and AWS. This level of automation and insight drastically improves operational efficiency and service reliability. Review collected by and hosted on G2.com.

While IBM Turbonomic is powerful, there are a few areas where it could improve.

First, the user interface can feel overwhelming—especially for new users or teams without prior AIOps experience. Navigating through dashboards and interpreting all the metrics can require a learning curve.

Second, while the platform offers strong automation, customizing those policies or integrating with external systems often needs scripting or more advanced configuration, which may not be ideal for less technical users.

Lastly, the pricing structure may not scale well for smaller organizations or teams with limited IT budgets. Review collected by and hosted on G2.com.

IBM Turbonomic excels at providing real-time, AI-driven recommendations that help optimize both application performance and infrastructure cost. What I like best is its ability to automate resource allocation decisions across hybrid and multi-cloud environments without manual intervention. This not only ensures continuous application health but also significantly reduces operational overhead for IT teams. The platform’s clear visibility into resource utilization across all layers — compute, storage, and network — helps in proactive planning and performance assurance. Review collected by and hosted on G2.com.

While IBM Turbonomic offers powerful optimization capabilities, the initial setup and integration can be complex, especially in large, multi-cloud environments. The learning curve for new users is somewhat steep, requiring time to fully understand and trust the platform’s automation recommendations. Additionally, the user interface, while functional, could be more intuitive and modernized to enhance overall usability. Review collected by and hosted on G2.com.

What I like best about IBM Turbonomic is that it helps keep our applications running smoothly without needing a lot of manual work. It automatically adjusts resources like memory and CPU, so we don’t have to constantly monitor or fine-tune things. This not only saves us time but also helps avoid performance issues before they happen. It works well across different environments—whether it's in the cloud or on-prem—and gives helpful suggestions that are easy to understand and follow. Overall, it makes managing our systems much easier and more efficient. Review collected by and hosted on G2.com.

It can take a little time to learn how to use it, especially in the beginning. Review collected by and hosted on G2.com.

Turbonomic gives you great insights in the use of resources in your datacenter and give a lot of advices to reduce resources en lower the costs. Review collected by and hosted on G2.com.

There are not realy things I dislike about Turbonomic Review collected by and hosted on G2.com.

The tool is capable of generating rightsizing recommendations even when developers and DevOps teams are only estimating resource requirements. Review collected by and hosted on G2.com.

The product currently only supports AWS, Azure, and GCP, which is limiting for those who use other cloud providers. Additionally, the absence of multi-currency support is a drawback. Review collected by and hosted on G2.com.

- Helps automate resource optimisation through all complex, hybrid and multi-cloud environments.

- It's always checking the application and infrastructure and decides how to improve performance in terms of demand and supply which ultimately reduces costs.

- It also allows you to check the application manually, despite having a lot of AI recommendations.

- It's easy to use and to integrate with AWS or other cloud platforms, which makes implementation easy whilst encouraging frequent use for admins.

- They provide customer support as well, which is easy to contact through help or their email. Review collected by and hosted on G2.com.

- It requires up skilling as it is difficult to learn at first if you do not have a technical background.

- UI is too complex when onboarding new users.

- Pricing becomes steep when trying to scale especially for smaller businesses. Review collected by and hosted on G2.com.

Turbonomic is a tool that brings automations focused on infrastructures and FinOps and facilitates the creation of guardrails and good governance in the environment, whether cloud or on-premises. This is the first thing we think of when working with Turbonomic. Review collected by and hosted on G2.com.

Widgets and reports can be better handled, with the possibility of an ETL without using ThoughtSpot. And improve the SWAGGER documentation of the Turbonomic API. Review collected by and hosted on G2.com.

Automation criticals tasks to improve FinOps practice and culture. Is easy to use and implement. Review collected by and hosted on G2.com.

The sinergy and dependencies to Cloudability have pros and cons Review collected by and hosted on G2.com.

I have used and studied about IBM Turbonomic and one of the best thing that I like about it is scaling of resources and making decision in real-time , which makes the best and judicious use of resources. Review collected by and hosted on G2.com.

I thing I faced is that its complex to setup even though if you have basic devOps knowledge. Also another thing I feel that the UI is too much complicated with flood of notifications. This is not personal experience but I think it is bit costly for individual or small teams. Review collected by and hosted on G2.com.