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.

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To learn more, read our detailed Cloud Analytics Report (Updated: March 2024).
768,924 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 automated memory balancing, where it looks at whether it's being used in the most efficient way and adds or takes away memory, is the best part. If it didn't do that, it would be something that I would have to do. We have too many machines for one person to do that. The automation helps me in that it is done in a really efficient way and a balanced way because of the policies. It really helps.""Rightsizing is valuable. Its recommendations are pretty good.""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.""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.""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.""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."""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.""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.'"

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

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Cons
"In Azure, it's not what you're using. You purchase the whole 8 TB disk and you pay for it. It doesn't matter how much you're using. So something that I've asked for from Turbonomic is recommendations based on disk utilization. In the example of the 8 TB disk where only 200 GBs are being used, based on the history, there should be a recommendation like, "You can safely use a 500 GB disk." That would create a lot of savings.""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.""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.""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.""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.""We're still evaluating the solution, so I don't know enough about what I don't know. They've done a lot over the years. I used Turbonomics six or seven years ago before IBM bought them. They've matured a lot since then.""The deployment process is a little tricky. It wasn't hard for me because I have pretty in-depth knowledge of Kubernetes, and their software runs on Kubernetes. To deploy it or upgrade it, you have to be able to follow steps and use the Kubernetes command line, or you'll need someone to come in and do it for you.""It sometimes does get false positives. Sometimes, it'll move something when it really wasn't a performance metric. I've seen it do that, but it's pretty much an automated tool for performance. We've only got about 500 virtual machines, so lots of times, I'm able to manage it physically, but it's definitely a nice tool for a larger enterprise that might be managing 2,000 or 3,000 virtual machines."

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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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    Also Known As
    Turbonomic, VMTurbo Operations Manager
    Learn More
    IBM
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    Interactive Demo
    Oracle
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    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 Company9%
    Insurance Company6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business17%
    Midsize Enterprise23%
    Large Enterprise60%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    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.
    768,924 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.