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IBM Spectrum Computing vs IBM Turbonomic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

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 Spectrum Computing
Ranking in Cloud Management
28th
Average Rating
7.8
Reviews Sentiment
5.9
Number of Reviews
9
Ranking in other categories
Hadoop (7th)
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 (5th), Virtualization Management Tools (5th), IT Financial Management (1st), IT Operations Analytics (11th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (16th)
 

Mindshare comparison

As of April 2026, in the Cloud Management category, the mindshare of IBM Spectrum Computing is 1.5%, up from 0.8% compared to the previous year. The mindshare of IBM Turbonomic is 4.1%, down from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management Mindshare Distribution
ProductMindshare (%)
IBM Turbonomic4.1%
IBM Spectrum Computing1.5%
Other94.4%
Cloud Management
 

Featured Reviews

OmarIsmail1 - PeerSpot reviewer
Infrastructure Technical Specialist II at Clicks Group
Senior Technical Specialist appreciates intelligent workload management, strong support, and scalability
The best features of IBM Spectrum Computing are common across many of their storage products. The software is solid, meaning that the code is stable. They take business seriously, which is what IBM stands for - International Business Machines. They always maintain a business-oriented approach in their software development. It's not simply clicking through interfaces; in IBM software, they consider their actions, process flows, and workflows around business processes. It requires understanding IBM and their methodology, as the software operates accordingly. I have utilized IBM Spectrum Computing's intelligent workload management feature. We use Insights, which is connected to the cloud. This provides AI capabilities for analyzing the configuration, offering smart recommendations on new code, warning about bugs in current code, and suggesting configuration improvements through its advisor tool. The predictive analytics feature in IBM Spectrum Computing enables optimal software performance through Insights. However, being a storage administrator requires foundational knowledge and understanding beyond these tools. For troubleshooting, it's efficient in spotting bottlenecks, but understanding the terms and metrics is essential as it provides answers that need interpretation.
reviewer1446966 - PeerSpot reviewer
Senior Systems Engineer at a university with 1,001-5,000 employees
The solution reduced our operational expenditures and is able to identify points before we even noticed them
The management interface seems to be designed for high-resolution screens. Somebody with a smaller-resolution screen might not like the web interface. I run a 4K monitor on it, so everything fits on the screen. With a lower resolution like 1080, you need to scroll a lot. Everything is in smaller windows. It doesn't seem to be designed for smaller screens. When I change the resolution to 1080, I only see half of what I would on my big 4K monitor. It would be annoying to have to scroll to see the flow chart. They have a flow chart that goes top to bottom like a tree. On a lower resolution, it might be nice if that scrolls horizontally because it's long, narrow, and tall. It's only three icons wide, but it's 15 icons tall. I think it would be helpful to have the ability to change that for a smaller screen and customize the widget.

Quotes from Members

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

Pros

"This solution worked as expected and it is reliable."
"The most valuable feature is the backup capability."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"Spectrum Computing is one of the best tools in the data management and services area, as it can process huge amounts of data with standardized data management and provides a great data governance capability."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"I tell everyone that they should go with IBM Spectrum Computing."
"We no longer have to continuously monitor our virtual environment through multiple interfaces to discover issues impairing performance, as we now receive three separate reports every morning, all from a single product and all visible from a single pane of glass."
"Customer Service: Excellent. We largely don't have to touch the product which has led to us missing out on an occasional feature."
"Right sizing our environment saves us money by not having to purchase additional hardware."
"Starting from the reporting and recommendations, every feature has been very helpful."
"My experience with Turbonomic has been exceptional, they've offered me a $25 gift card to write a review of their company but I'd gladly write them a review for free."
"Less downtime due to small issues becoming big because we didn't see them, and the VMs are running at their optimal performance."
"Since our organization provides managed services to our clients, it is important our engineers are able to retrieve not only real-time data but the recommendations and rightsizing information instantly."
"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."
 

Cons

"This solution is no longer managing tapes correctly."
"Lack of sufficient documentation, particularly in Spanish."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"Software sometimes is a little slower. It takes two or three days sometimes."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"We are not fully satisfied with this product at the moment because we are having issues with reliability."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"Turbonomic needs to find how to have the appliance OS up to date. Per our security tool, it has missing patches."
"I have had some issues from time to time with DB table errors, though not sure if it is a product issue or the storage I am on."
"The user interface has room for improvement, but it is well on its way with the new UI that is being developed."
"The management interface seems to be designed for high-resolution screens. Somebody with a smaller-resolution screen might not like the web interface."
"There is a lot of information and to get a plan or report correct is a little trial and error."
"There is room for improvement with upgrades. We have deployed the newer version, version 8 of Turbonomic. The problem is that there is no way to upgrade between major Turbonomic versions."
"Waiting for the HTML5 GUI since flash has refresh issues."
"Turbonomic doesn't do storage placement how I would prefer. We use multiple shared storage volumes on VMware, so I don't have one big disk. I have lots of disks that I can place VMs on, and that consumes IOPS from the disk subsystem. We were getting recommendations to provision a new volume."
 

Pricing and Cost Advice

"This solution is expensive."
"Spectrum Computing is one of the most expensive products on the market."
"Price is a big one. VMTurbo was very competitively priced."
"I have not seen Turbonomic's new pricing since IBM purchased it. When we were looking at it in my previous company before IBM's purchase, it was compatible with other tools."
"Contact the Turbonomic sales team, explain your needs and what you're looking to monitor. They will get a pre-sales SE on the phone and together work up a very accurate quote."
"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."
"Everybody tells me the pricing is high. But the ROIs are great."
"I know there have been some issues with the billing, when the numbers were first proposed, as to how much we would save. There was a huge miscommunication on our part. Turbonomic was led to believe that we could optimize our AWS footprint, because we didn't know we couldn't. So, we were promised savings of $750,000. Then, when we came to implement Turbonomic, the developers in AWS said, "Absolutely not. You're not putting that in our environment. We can't scale down anything because they coded it." Our AWS environment is a legacy environment. It has all these old applications, where all the developers who have made it are no longer with the company. Those applications generate a ton of money for us. So, if one breaks, we are really in trouble and they didn't want to have to deal with an environment that was changing and couldn't be supported. That number went from $750,000 to about $450,000. However, that wasn't Turbonomic's fault."
"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."
"In the last year, Turbonomic has reduced our cloud costs by $94,000."
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Top Industries

By visitors reading reviews
Manufacturing Company
17%
Financial Services Firm
12%
Construction Company
11%
Outsourcing Company
9%
Financial Services Firm
10%
Computer Software Company
10%
Manufacturing Company
9%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business41
Midsize Enterprise57
Large Enterprise147
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Spectrum Computing?
IBM Spectrum Computing consistently offers competitive pricing. When solutioning new implementations, IBM always presents the best solution and price. In a recent comparison with Pure Storage and N...
What needs improvement with IBM Spectrum Computing?
IBM Spectrum Computing had limitations with remote copy services between head office and disaster recovery sites. In the last year, IBM has improved the code by re-engineering it to policy-based re...
What is your primary use case for IBM Spectrum Computing?
The typical use case for IBM Spectrum Computing is that it's an all-rounder. It can be used in various scenarios, such as the retailer I work for that has batch processing. It's on-demand when perf...
What is your experience regarding pricing and costs for Turbonomic?
It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is set as a percentage of the consumption of some of our customers' services. The ...
What needs improvement with Turbonomic?
The implementation could be enhanced.
What is your primary use case for Turbonomic?
We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting. This helps us get a consolidated view of all customer spending into a single d...
 

Also Known As

IBM Platform Computing
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about IBM Spectrum Computing vs. IBM Turbonomic and other solutions. Updated: March 2026.
885,728 professionals have used our research since 2012.