IBM Spectrum Computing vs IBM Turbonomic comparison

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4,061 views|3,763 comparisons
40% willing to recommend
IBM Logo
5,557 views|2,561 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: May 2024).
771,212 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
"We are satisfied with the technical support, we have no issues.""This solution is working for both VTL and tape.""The most valuable feature is the backup capability.""Easy to operate and use.""Spectrum Computing's best features are its speed, robustness, and data processing and analysis.""The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."

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"The solution has a good optimization feature.""I only deal with the infrastructure side, so I really couldn't speak to more than load balancing as the most valuable feature for me. It provides specific actions that prevent resource starvation. It always keeps things in perfect balance.""The primary features we have focused on are reporting and optimization.""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.""I have the ability to automate things similar to the Orchestrator stuff. I do have the ability to have it do some balancing, and if it sees some different performance metrics that I've set not being met, it'll actually move some of my virtual machines from, let's say, one host to another. It is sort of an automation tool that helps me. Basically, I specify the metric, and if I get a certain host or something being over-utilized, it'll automatically move the virtual machines around for me. It basically has to snap into my vCenter and then it can make adjustments and move my virtual machines around. It also has some very nice reporting tools built around virtual machines. It tells you how much storage, memory, or CPU is being used monthly, and then it gives you a very nice way to be able to send out billing structure to your end users who use servers within your environment.""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."""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.""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."

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

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"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.""Recovering resources when they're not needed is not as optimized as it could be.""I do not like Turbonomic's new licensing model. The previous model was pretty straightforward, whereas the new model incorporates what most of the vendors are doing now with cores and utilization. Our pricing under the new model will go up quite a bit. Before, it was pretty straightforward, easy to understand, and reasonable.""They could add a few more reports. They could also be a bit more granular. While they have reports, sometimes it is hard to figure out what you are looking for just by looking at the date.""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.""There is an opportunity for improvement with some of Turbonomic's permissions internally for role-based access control. We would like the ability to come up with some customized permissions or scope permissions a bit differently than the product provides.""The GUI and policy creation have room for improvement. There should be a better view of some of the numbers that are provided and easier to access. And policy creation should have it easier to identify groups.""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."

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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
    9th
    out of 75 in Cloud Management
    Views
    4,061
    Comparisons
    3,763
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    4th
    out of 75 in Cloud Management
    Views
    5,557
    Comparisons
    2,561
    Reviews
    14
    Average Words per Review
    1,360
    Rating
    8.4
    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 Company17%
    Financial Services Firm12%
    Computer Software Company10%
    REVIEWERS
    Healthcare Company13%
    Manufacturing Company13%
    Financial Services Firm13%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm16%
    Manufacturing Company9%
    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
    May 2024
    Find out what your peers are saying about IBM Spectrum Computing vs. IBM Turbonomic and other solutions. Updated: May 2024.
    771,212 professionals have used our research since 2012.

    IBM Spectrum Computing is ranked 9th 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 Tanzu 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.