No more typing reviews! Try our Samantha, our new voice AI agent.

IBM Turbonomic vs Mirantis Kubernetes Engine comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Turbonomic
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (2nd), Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (3rd), IT Operations Analytics (9th), Cloud Analytics (1st), Cloud Cost Management (3rd), AIOps (18th)
Mirantis Kubernetes Engine
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Containers as a Service (CaaS) (9th)
 

Mindshare comparison

While both are Cloud Services solutions, they serve different purposes. IBM Turbonomic is designed for AIOps and holds a mindshare of 2.8%, up 0.7% compared to last year.
Mirantis Kubernetes Engine, on the other hand, focuses on Containers as a Service (CaaS), holds 6.2% mindshare, down 6.4% since last year.
AIOps Mindshare Distribution
ProductMindshare (%)
IBM Turbonomic2.8%
Datadog10.6%
Dynatrace9.8%
Other76.8%
AIOps
Containers as a Service (CaaS) Mindshare Distribution
ProductMindshare (%)
Mirantis Kubernetes Engine6.2%
Amazon Elastic Container Service18.0%
Microsoft Azure Container Service15.6%
Other60.2%
Containers as a Service (CaaS)
 

Featured Reviews

Dan Ambrose - PeerSpot reviewer
Infrastructure Engineer 4 at a tech vendor with 1,001-5,000 employees
Helps visibility, bridges the data gap, and frees up time
We use IBM Turbonomic in a hybrid cloud environment. Although it supports multi-cloud capabilities, we currently operate in a single-cloud setting. Turbonomic offers visibility into our environment's performance, spanning across applications, underlying infrastructure, and protection resources. The visibility and analytics help to bridge the data gap between disparate IT teams such as applications and infrastructure. This is important for awareness collaboration, cost saving, and helping to design and improve our application. Enhanced visibility and data analytics have contributed to a significant reduction in our mean time to resolve. Tools like Turbonomic provide crucial visualization and insights, empowering us to make data-driven decisions instead of relying on assumptions as we did before. This newfound transparency translates to a massive improvement, going from complete darkness to having a clear 100 percent view of the situation. Although our applications are not optimized for the cloud we have seen some improvement in response time. IBM Turbonomic empowers us to achieve more with fewer people thanks to automation. Previously, customers frequently contacted us requesting resource increases to resolve issues. Now, we have a tool that allows us to objectively assess their needs, leading to a deeper understanding of our applications. This solution also generates significant cost savings in the cloud and optimizes hardware utilization within our data centers. Its AI algorithm intelligently allocates servers on hosts, maximizing efficiency without compromising performance. By fine-tuning resource allocation without causing performance bottlenecks, Turbonomic extends the lifespan of existing hardware, postponing the need for new purchases. This effectively stretches our capital expenditure budget. We started to see the benefits of IBM Turbonomic within the first 60 days. IBM is a fantastic partner. Their tech support has been outstanding, and the product itself is excellent - a very solid offering. By automating resource management with Turbonomic, our engineers are freed up to focus on more strategic initiatives like innovation and ongoing organizational projects. Previously, manually adding resources was a time-consuming process that interrupted workflows. Now, automation handles scaling efficiently, saving us thousands of man-hours and significant costs. It has illuminated the need for SetOps. It has highlighted areas of overspending, and the actions we've taken have demonstrated significant cost savings. IBM Turbonomic has positively impacted our overall application performance. IBM Turbonomic has helped reduce both CAPEX and OPEX. It has also significantly reduced cloud build times.
Use Mirantis Kubernetes Engine?
Leave a review
report
Use our free recommendation engine to learn which AIOps solutions are best for your needs.
920,769 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
8%
Construction Company
7%
Computer Software Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise57
Large Enterprise147
No data available
 

Also Known As

Turbonomic, VMTurbo Operations Manager
No data available
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Volkswagen, EMC, Tata Communications, Shenzhen Stock Exchange, Saudi Telecom Company, Naturalis Biodiversity Center, G‑Core Labs, Bailian Group
Find out what your peers are saying about Dynatrace, Datadog, PagerDuty and others in AIOps. Updated: October 2026.
920,769 professionals have used our research since 2012.