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IBM Turbonomic vs Scalr comparison

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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
Ranking in Cloud Management
4th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (2nd), Virtualization Management Tools (3rd), IT Financial Management (3rd), IT Operations Analytics (9th), Cloud Analytics (1st), Cloud Cost Management (3rd), AIOps (18th)
Scalr
Ranking in Cloud Management
25th
Average Rating
8.4
Reviews Sentiment
5.7
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Cloud Management category, the mindshare of IBM Turbonomic is 4.7%, up from 4.6% compared to the previous year. The mindshare of Scalr is 1.1%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management Mindshare Distribution
ProductMindshare (%)
IBM Turbonomic4.7%
Scalr1.1%
Other94.2%
Cloud Management
 

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.
Prabhu Shankar - PeerSpot reviewer
Data Engineer at a media company with 10,001+ employees
Centralized IaC workflows have reduced overhead but run‑based pricing still needs improvement
The best features Scalr offers include centralized state execution and flexible GitOps to CLI workflows, which are its main strengths. Centralized state execution helps my team by giving us more control over what happens on the execution agents. I use the GitOps CLI workflows in my daily work because they are easy to monitor, rather than giving access to all local providers.

Quotes from Members

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

Pros

"Alongside the additional labor, we save approximately $4500/month."
"Turbonomic has definitely helped to save human resource time and cost involved in monitoring and optimizing our estate; it has automated a lot of things and we have saved 30 to 35 percent in human resource time and cost, which is pretty substantial."
"Our ROI occurred in less than 6 months by allowing us to avoid a costly server upgrade that was planned for parts of our VMware infrastructure."
"Turbonomic is hands down one of the best products; it does a really excellent job of reporting, handling placement, measuring resources, and increasing or decreasing those resources, and overall the product just sells itself while being very helpful in the cloud and on-premise."
"Licensing cost is relatively cost effective."
"Turbonomics has had immediate effect with both the day to day experience of our users by actively controlling resource congestion, and ensuring we could utilize the current resources to the full amount."
"I like the dashboard; I don't have to search around or create reports for issues or items I should be looking at, as it all just comes to the front."
"Our ROI was less than 12 months as we would otherwise have needed to purchase additional hardware and VMware licenses during that time period, as we were previously adding at least 4 CPUs worth each year."
"After all the years of helping enterprises implement API strategies at SmartBear, I can confidently say Scalr is what the industry has been waiting for."
"Scalr has positively impacted my organization by providing much less overhead for the creation of Terraform and other CLI workflows."
"I was able to deal with requests without needing every server on; I could turn them off."
 

Cons

"The reporting needs to be improved."
"Can't wait for the new GUI (which is due soon) as the old interface can be difficult to navigate."
"Better hardware utilization and point VM and apps on demand to better working places."
"The reporting module has very big potential, but really lacks predefined reports for all kinds of purposes."
"A more interactive dashboard with integrated features."
"The UI could be a little more user friendly and less buggy."
"The way it handles updates needs to be improved."
"GUI is ugly."
"Scalr could be improved because it is another delivery stack, and understanding Terraform is necessary to use it effectively."
"We did use AWS autoscaling but Rackspace left something to be desired."
"Regarding licensing, if I buy a licensing key, it is beneficial, but if I have a lesser standing, it is not as good."
 

Pricing and Cost Advice

"It was an annual buy-in. You basically purchase it based on your host type stuff. The buy-in was about 20K, and the annual maintenance is about $3,000 a year."
"I don't know the current prices, but I like how the licensing is based on the number of instances instead of sockets, clusters, or cores. We have some VMs that are so heavy I can only fit four on one server. It's not cost-effective if we have to pay more for those. When I move around a VM SQL box with 30 cores and a half-terabyte of RAM, I'm not paying for an entire socket and cores where people assume you have at least 10 or 20 VMs on that socket for that pricing."
"I'm not involved in any of the billing, but my understanding is that is fairly expensive."
"IBM Turbonomic is an investment that we believe will deliver positive returns."
"The product is fairly priced right now. Given its capabilities, it is excellently priced. We think that the product will become self-funding because we will be able to maximize our resources, which will help us from a capacity perspective. That should save us money in the long run."
"Everybody tells me the pricing is high. But the ROIs are great."
"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."
"The pricing and licensing are fair. We purchase based on benchmark pricing, which we have been able to get. There are no surprise charges nor hidden fees."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Construction Company
8%
Outsourcing Company
7%
Manufacturing Company
21%
Comms Service Provider
10%
Computer Software Company
10%
Financial Services Firm
8%
 

Company Size

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

Questions from the Community

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Earn 20 points
What needs improvement with Scalr?
Scalr can be improved by logical simplification, wrapping complex logic into reusable functions to keep main queries readable. Data validation using functions like is null provides default values w...
What is your primary use case for Scalr?
Scalr refers to several distinct technologies, with the most common modern use case involving API documentation and database function. Scalr is a modern alternative to Swagger UI used for creative ...
What advice do you have for others considering Scalr?
Scalr is deployed on-premises only because Scalr is a physical quantity fully described by magnitude value. Regarding the mathematical engine and scripting language, the core features are generally...
 

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.
JPL, Expedia, Samsung, Acxiom, Accenture, Sony, Merkle, Autodesk
Find out what your peers are saying about IBM Turbonomic vs. Scalr and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.