IBM Turbonomic vs Oracle Big Data Cloud Service comparison

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485 views|233 comparisons
98% willing to recommend
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13 views|7 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between IBM Turbonomic and Oracle Big Data Cloud Service based on real PeerSpot user reviews.

Find out what your peers are saying about IBM, Densify, Spot by NetApp and others in Cloud Analytics.
To learn more, read our detailed Cloud Analytics Report (Updated: March 2024).
767,319 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 can manage multiple environments using a single pane of glass, which is something that I really like.""The automation and orchestration components are definitely the best part, as you can tell it what it can do and when, and just let it be.""It became obvious to us that there was a lot more being offered in the product that we could leverage to ensure our VMware environment was running efficiently.""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.""The most valuable features are the cluster utilization reports and the resource capacity planning. We can simulate how much capacity we can add to the current resources. The individual DM reports and VM-facing recommendations report are also helpful.""Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated.""The most important feature to us is an objective measurement of VM headroom per cluster. In addition, the ability to check for the right-sizing of VMs.""It is a good holistic platform that is easy to use. It works pretty well."

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"The solution's most valuable aspect is the fact that it is open source.""The solution's most valuable aspects are its data integration and data virtualization."

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Cons
"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.""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.""Before IBM bought it, the support was fantastic. After IBM bought it, the support became very disappointing.""Additional interfaces would be helpful.""While the product is fairly intuitive and easy to use once you learn it, it can be quite daunting until you have undergone a bit of training.""Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information.""The old interface was not the clearest UI in some areas, and could be quite intimidating when first using the tool.""The one point is the reporting. We do have reports out of it, but they're not the level of graphical detail I would like."

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"We've had some issues with stability.""The solution needs to improve the functionality of the auto-deduplication."

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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: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.
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    Ranking
    1st
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    Rating
    8.5
    8th
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    Also Known As
    Turbonomic, VMTurbo Operations Manager
    Learn More
    IBM
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    Interactive Demo
    Oracle
    Demo Not Available
    Overview

    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!

    Oracle Big Data Cloud Service is an automated service that provides a highpowered environment tailor-made for advancing businesses' analytical capabilities. With automated lifecycle management and one-click security, Big Data Cloud Service is designed to optimally and securely run a wide variety of big data workloads and technologies while simplifying operations. Big Data Cloud Service includes several high-end analytics components, ranging from Oracle Big Data Spatial and Graph to R and embedded components like Apache Spark and Impala.

    Sample Customers
    IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
    GE Digital, Wiggle, RecVue
    Top Industries
    REVIEWERS
    Healthcare Company13%
    Manufacturing Company13%
    Financial Services Firm13%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm16%
    Manufacturing Company8%
    Insurance Company6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business17%
    Midsize Enterprise23%
    Large Enterprise60%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise72%
    No Data Available
    Buyer's Guide
    Cloud Analytics
    March 2024
    Find out what your peers are saying about IBM, Densify, Spot by NetApp and others in Cloud Analytics. Updated: March 2024.
    767,319 professionals have used our research since 2012.

    IBM Turbonomic is ranked 1st in Cloud Analytics with 204 reviews while Oracle Big Data Cloud Service is ranked 8th in Cloud Analytics. IBM Turbonomic is rated 8.8, while Oracle Big Data Cloud Service is rated 7.6. The top reviewer of IBM Turbonomic writes "The solution reduced our operational expenditures and is able to identify points before we even noticed them ". On the other hand, the top reviewer of Oracle Big Data Cloud Service writes "Easy to set up with good data integration and data virtualization". IBM Turbonomic is most compared with VMware Aria Operations, Azure Cost Management, Cisco Intersight, VMware Aria Cost powered by CloudHealth and VMware vSphere, whereas Oracle Big Data Cloud Service is most compared with .

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    We monitor all Cloud Analytics 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.