IBM Spectrum Computing vs IBM Turbonomic comparison

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4,076 views|3,768 comparisons
40% willing to recommend
IBM Logo
5,627 views|2,650 comparisons
98% willing to recommend
Comparison Buyer's Guide
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: March 2024).
768,857 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
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers.""We are satisfied with the technical support, we have no issues.""The most valuable feature is the backup capability.""This solution is working for both VTL and tape.""Easy to operate and use.""Spectrum Computing's best features are its speed, robustness, and data processing and analysis."

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"In our organization, optimizing application performance is a continuous process that is beyond human scale. We would not be able to do the number of actions that Turbonomic takes on a daily, weekly, and monthly basis. It is humanly impossible with the little micro adjustments that it can make. That is a huge differentiator. If you just figure each action could take anywhere very conservatively from five to 10 minutes to act upon, then you multiply that out by thousands of actions every month, it is easily something where you could say, "I am saving a couple of FTEs."""Turbonomic helps us right-size virtual machines to utilize the available infrastructure components available and suggest where resources should exist. We also use the predictive tool to forecast what will happen when we add additional compute-demanding virtual machines or something to the environment. It shows us how that would impact existing resources. All of that frees up time that would otherwise be spent on manual calculation.""On-premises, one advantage I find particularly appealing is the ability to create policies for automatic CPU and memory scaling based on demand.""We have VM placement in Automated mode and currently have all other metrics in Recommend mode.""The solution has a good optimization feature.""The feature for optimizing VMs is the most valuable because a number of the agencies have workloads or VMs that are not really being used. Turbonomic enables us to say, 'If you combine these, or if you decide to go with a reserve instance, you will save this much.'""With Turbonomic, we were able to reduce our ESX cluster size and save money on our maintenance and license renewals. It saved us around $75,000 per year but it's a one-time reduction in VMware licensing. We don't renew the support. The ongoing savings is probably $50,000 to $75,000 a year, but there was a one-time of $200,000 plus.""The biggest value I'm getting out of VMTurbo right now is the complete hands-off management of equalizing the usage in my data center."

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Cons
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing.""We'd like to see some AI model training for machine learning.""We have not been able to use deduplication.""Lack of sufficient documentation, particularly in Spanish.""Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud.""This solution is no longer managing tapes correctly."

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"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.""The reporting needs to be improved. It's important for us to know and be able to look back on what happened and why certain decisions were made, and we want to use a custom report for this.""There are a few things that we did notice. It does kind of seem to run away from itself a little bit. It does seem to have a mind of its own sometimes. It goes out there and just kind of goes crazy. There needs to be something that kind of throttles things back a little bit. I have personally seen where we've been working on things, then pulled servers out of the VMware cluster and found that Turbonomic was still trying to ship resources to and from that node. So, there has to be some kind of throttling or ability for it to not be so buggy in that area. Because we've pulled nodes out of a cluster into maintenance mode, then brought it back up, and it tried to put workloads on that outside of a cluster. There may be something that is available for this, but it seems very kludgy to me.""They have a long road map when we ask for certain things that will make the product better. It takes time, but that's understandable because there are other things that are higher on the priority list.""Since the introduction of a HTML 5 based interface, our main - but minor - criticism of a less than intuitive operation managers' GUI would be the area of improvement.""We don't use Turbonomic for FinOps and part of the reason is its cost reporting. The reporting could be much more robust and, if that were the case, I could pitch it for FinOps.""I would like Turbonomic to add more services, especially in the cloud area. I have already told them this. They can add Azure NetApp Files. They can add Azure Blob storage. They have already added Azure App service, but they can do more.""The way it handles updates needs to be improved."

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Pricing and Cost Advice
  • "This solution is expensive."
  • "Spectrum Computing is one of the most expensive products on the market."
  • More IBM Spectrum Computing Pricing and Cost Advice →

  • "We felt the pricing was very fair for the product. It is in no way prohibitive for larger deployments, unlike other similar product on the market."
  • "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."
  • "What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."
  • "Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."
  • "You should understand the cost of your physical servers and how much time and money you are spending year over year on expanding your virtual farm."
  • "Price is a big one. VMTurbo was very competitively priced."
  • "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."
  • More IBM Turbonomic Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:This solution is too expensive for a lot of our customers.
    Top Answer:The biggest problem is the lack of documentation in general, and documentation in Spanish, in particular.
    Top Answer: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.
    Top Answer:I would like Turbonomic to add more services, especially in the cloud area. I have already told them this. They can add Azure NetApp Files. They can add Azure Blob storage. They have already added… more »
    Top Answer:I mostly provide it to my clients. There are multiple reasons why they would use it depending on the client's needs and their solution.
    Ranking
    10th
    out of 75 in Cloud Management
    Views
    4,076
    Comparisons
    3,768
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    4th
    out of 75 in Cloud Management
    Views
    5,627
    Comparisons
    2,650
    Reviews
    16
    Average Words per Review
    1,455
    Rating
    8.5
    Comparisons
    Also Known As
    IBM Platform Computing
    Turbonomic, VMTurbo Operations Manager
    Learn More
    IBM
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    IBM
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    Interactive Demo
    IBM
    Demo Not Available
    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 is a performance and cost optimization platform for public, private, and hybrid clouds used by customers to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. 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. Ready to take a closer look? Explore the interactive demo or start your free 30-day trial today!

    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.
    Top Industries
    VISITORS READING REVIEWS
    Comms Service Provider31%
    Media Company16%
    Financial Services Firm11%
    Computer Software Company10%
    REVIEWERS
    Healthcare Company13%
    Manufacturing Company13%
    Financial Services Firm13%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm16%
    Manufacturing Company8%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise18%
    Large Enterprise68%
    REVIEWERS
    Small Business17%
    Midsize Enterprise23%
    Large Enterprise60%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    Buyer's Guide
    IBM Spectrum Computing vs. IBM Turbonomic
    March 2024
    Find out what your peers are saying about IBM Spectrum Computing vs. IBM Turbonomic and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    IBM Spectrum Computing is ranked 10th in Cloud Management with 6 reviews while IBM Turbonomic is ranked 4th in Cloud Management with 204 reviews. IBM Spectrum Computing is rated 7.8, while IBM Turbonomic is rated 8.8. The top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". On the other hand, the top reviewer of IBM Turbonomic writes "The solution reduced our operational expenditures and is able to identify points before we even noticed them ". IBM Spectrum Computing is most compared with Apache Spark and HPE Ezmeral Data Fabric, whereas IBM Turbonomic is most compared with VMware Aria Operations, Azure Cost Management, Cisco Intersight, VMware Aria Cost powered by CloudHealth and VMware vSphere. See our IBM Spectrum Computing vs. IBM Turbonomic report.

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    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.