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IBM Spectrum Computing vs IBM Turbonomic comparison

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Executive Summary

We performed a comparison between IBM Spectrum Computing and IBM Turbonomic based on real PeerSpot user reviews.

Find out in this report how the two Cloud Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Spectrum Computing vs. IBM Turbonomic report (Updated: September 2022).
632,779 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis.""The most valuable feature is the backup capability.""The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."

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"It has automated a lot of things. We have saved 30 to 35 percent in human resource time and cost, which is pretty substantial. We don't have a big workforce here, so we have to use all the automation we can get.""We can manage multiple environments using a single pane of glass, which is something that I really like.""The recommendation of the family types is a huge help because it has saved us a lot of money. We use it primarily for that. Another thing that Turbonomic provides us with is a single platform that manages the full application stack and that's something I really like.""We've saved hundreds of hours. Most of the time those hours would have to be after hours as well, which are more valuable to me as that's my personal time.""Turbonomic has helped optimize cloud operations and reduced our cloud costs significantly. Overall, we are at about 40 percent savings, and we spend about three million a year just in Azure. It reduces the size of the VMs, putting them into the right template for usage. People don't realize that you don't have to future-proof a virtual machine in Azure. You just need to build it for today. As the business or service grows, you can scale up or out. About 90 percent of all the costs that we've reduced has been from sizing machines appropriately.""Turbonomic can show us if we're not using some of our storage volumes efficiently in AWS. For example, if we've over-provisioned one of our virtual machines to have dedicated IOPs that it doesn't need, Turbonomic will detect that and tell us.""The tool provides the ability to look at the consumption utilization over a period of time and determine if we need to change that resource allocation based on the actual workload consumption, as opposed to how IT has configured it. Therefore, we have come to realize that a lot of our workloads are overprovisioned, and we are spending more money in the public cloud than we need to.""The proactive monitoring of all our open enrollment applications has improved our organization. We have used it to size applications that we are moving to the cloud. Therefore, when we move them out there, we have them appropriately sized. We use it for reporting to current application owners, showing them where they are wasting money. There are easy things to find for an application, e.g., they decommissioned the server, but they never took care of the storage. Without a tool like this, that storage would just sit there forever, with us getting billed for it."

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Cons
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud.""We have not been able to use deduplication.""We'd like to see some AI model training for machine learning."

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"Additional interfaces would be helpful.""It would be good for Turbonomic, on their side, to integrate with other companies like AppDynamics or SolarWinds or other monitoring softwares. I feel that the actual monitoring of applications, mixed in with their abilities, would help. That would be the case wherever Turbonomic lacks the ability to monitor an application or in cases where applications are so customized that it's not going to be able to handle them. There is monitoring that you can do with scripting that you may not be able to do with Turbonomic.""After running this solution in production for a year, we may want a more granular approach to how we utilize the product because we are planning to use some of its metrics to feed into our financial system.""The issue for us with the automation is we are considering starting to do the hot adds, but there are some problems with Windows Server 2019 and hot adds. It is a little buggy. So, if we turn that on with a cluster that has a lot of Windows 2019 Servers, then we would see a blue screen along with a lot of applications as well. Depending on what you are adding, cores or memory, it doesn't necessarily even take advantage of that at that moment. A reboot may be required, and we can't do that until later. So, that decreases the benefit of the real-time. For us, there is a lot of risk with real-time.""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. You can upgrade minor versions without a problem, but when you go from version 6 to version 7, or version 7 to version 8, you basically have to deploy it new and let it start gathering data again. That is a problem because all of the data, all of the savings calculations that had been done on the old version, are gone. There's no way to keep track of your lifetime savings across versions.""The way it handles updates needs to be improved.""It would be nice for them to have a way to do something with physical machines, but I know that is not their strength Thankfully, the majority of our environment is virtual, but it would be nice to see this type of technology across some other platforms. It would be nice to have capacity planning across physical machines.""I would love to see Turbonomic analyze backup data. We have had people in the past put servers into daily full backups with seven-year retention and where the disk size is two terabytes. So, every single day, there is a two terabyte snapshot put into a Blob somewhere. I would love to see Turbonomic say, "Here are all your backups along with the age of them," to help us manage the savings by not having us spend so much on the storage in Azure. That would be huge."

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Pricing and Cost Advice
  • "Spectrum Computing is one of the most expensive products on the market."
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  • "If you're a super-small business, it may be a little bit pricey for you... But in large, enterprise companies where money is, maybe, less of an issue, Turbonomic is not that expensive. I can't imagine why any big company would not buy it, for what it does."
  • "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'm not involved in any of the billing, but my understanding is that is fairly expensive."
  • "We see ROI in extended support agreements (ESA) for old software. Migration activities seem to be where Turbonomic has really benefited us the most. It's one click and done. We have new machines ready to go with Turbonomic, which are properly sized instead of somebody sitting there with a spreadsheet and guessing. So, my return on investment would certainly be on currency, from a software and hardware perspective."
  • "When we have expanded our licensing, it has always been easy to make an ROI-based decision. So, it's reasonably priced. We would like to have it cheaper, but we get more benefit from it than we pay for it. At the end of the day, that's all you can hope for."
  • "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."
  • "It is an endpoint type license, which is fine. It is not overly expensive."
  • "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."
  • More IBM Turbonomic Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The most valuable feature is the backup capability.
    Top Answer:We are not fully satisfied with this product at the moment because we are having issues with reliability. We have not been able to use deduplication. I cannot use any protocol other than VTL. We have… more »
    Top Answer:In terms of pricing and licensing, I wasn't involved too much in that portion. In terms of the licensing, I would say it's definitely worth the investment. Even initially, if it seems out of range… more »
    Top Answer:The way it handles updates needs to be improved. That would be one of the areas I would focus on. I wish that the upgrades and updates were more easily accessible. Some of that is based on my… more »
    Top Answer:The product is looking at things in the cloud or in Azure and it gives us reports of things that it could possibly do in Azure, however, we mainly use it on-prem for our VMware environment. The use… more »
    Ranking
    24th
    out of 75 in Cloud Management
    Views
    4,555
    Comparisons
    4,369
    Reviews
    2
    Average Words per Review
    307
    Rating
    7.5
    3rd
    out of 75 in Cloud Management
    Views
    8,795
    Comparisons
    4,716
    Reviews
    20
    Average Words per Review
    2,077
    Rating
    9.0
    Comparisons
    Also Known As
    IBM Platform Computing
    Turbonomic, VMTurbo Operations Manager
    Learn More
    Overview

    IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.

    IBM Turbonomic Application Resource Management (ARM) software is used by customers to assure application performance while eliminating inefficiencies by dynamically resourcing applications across hybrid and multicloud environments. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years.

    For further information, please visit www.ibm.com/cloud/turbonomic



    Offer
    Learn more about IBM Spectrum Computing
    Learn more about IBM Turbonomic
    Sample Customers
    London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
    J.B. Hunt, BBC, The Capita Group, SulAmerica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
    Top Industries
    VISITORS READING REVIEWS
    Comms Service Provider27%
    Computer Software Company16%
    Media Company15%
    Financial Services Firm6%
    REVIEWERS
    Healthcare Company13%
    Financial Services Firm13%
    Manufacturing Company12%
    Energy/Utilities Company7%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider12%
    Financial Services Firm8%
    Government8%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise19%
    Large Enterprise66%
    REVIEWERS
    Small Business17%
    Midsize Enterprise24%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    IBM Spectrum Computing vs. IBM Turbonomic
    September 2022
    Find out what your peers are saying about IBM Spectrum Computing vs. IBM Turbonomic and other solutions. Updated: September 2022.
    632,779 professionals have used our research since 2012.

    IBM Spectrum Computing is ranked 24th in Cloud Management with 3 reviews while IBM Turbonomic is ranked 3rd in Cloud Management with 21 reviews. IBM Spectrum Computing is rated 8.0, while IBM Turbonomic is rated 9.0. The top reviewer of IBM Spectrum Computing writes "Responsive technical support with good reliability, and optimization of computing". On the other hand, the top reviewer of IBM Turbonomic writes "Helps us optimize cloud operations, reducing our cloud costs". IBM Spectrum Computing is most compared with Red Hat CloudForms, HPE Ezmeral Data Fabric, Cloudera Distribution for Hadoop and VMware Aria Operations, whereas IBM Turbonomic is most compared with VMware Aria Operations, Azure Cost Management, CloudHealth, Densify and Cisco Intersight. See our IBM Spectrum Computing vs. IBM Turbonomic report.

    See our list of best Cloud Management vendors.

    We monitor all Cloud Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.