IBM Turbonomic vs Spot by NetApp comparison

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IBM Turbonomic

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Executive Summary

We performed a comparison between IBM Turbonomic and Spot by NetApp based on real PeerSpot user reviews.

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

To learn more, read our detailed IBM Turbonomic vs. Spot by NetApp Report (Updated: October 2024).

IBM Turbonomic vs. Spot by NetApp

October 2024

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Categories and Ranking

IBM Turbonomic

Ranking in Cloud Management

4th

Ranking in Cloud Analytics

1st

Ranking in Cloud Cost Management

1st

Average Rating

8.8

Number of Reviews

205

Ranking in other categories

Cloud Migration (5th), Virtualization Management Tools (3rd)

Spot by NetApp

Ranking in Cloud Management

33rd

Ranking in Cloud Analytics

3rd

Ranking in Cloud Cost Management

11th

Average Rating

8.0

Number of Reviews

Ranking in other categories

Server Virtualization Software (13th), Cloud Operations Analytics (3rd), Compute Service (10th), Containers as a Service (CaaS) (8th)

Mindshare comparison

As of October 2024, in the Cloud Analytics category, the mindshare of IBM Turbonomic is 40.5%, down from 43.0% compared to the previous year. The mindshare of Spot by NetApp is 6.0%, up from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Analytics

Featured Reviews

SubashSubbiah

Assistant Consultant at a tech services company with 10,001+ employees

Dec 10, 2022

It can tell us where performance is lagging on the hardware layer, but the reporting on the application layer is lacking

The automation area could be improved, and the generic reports are poor. We want more details in the analysis report from the application layer. The reports from the infrastructure layer are satisfactory, but Turbonomic won't provide much information if we dig down further than the application layer. I would like them to add some apps for physical device load resourcing and physical-to-virtual calculation. It gives excellent recommendations for the virtual layer but doesn't have the capabilities for physical-to-virtual analysis. Automated deployment is something else they could add. Some built-in automation features are helpful, but we aren't effectively using a few. We want a few more automated features, like autoscaling and automatic performance optimization testing would be useful.

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Manpreet_Singh

Senior Principal Infrastructure Engineer at Mphasis

Mar 6, 2024

Used to manage Kubernetes infrastructure, but it doesn't have support from OCI

We use Spot Ocean to manage our Kubernetes infrastructure, including AKS and EKS The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow. The solution doesn't have support from OCI, and it should start working to onboard OCI.…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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 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."

"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."

"Rightsizing is valuable. Its recommendations are pretty good."

"With over 2500 ESX VMs, including 1500+ XenDesktop VDI desktops, hosted over two datacentres and 80+ vSphere hosts, firefighting has become something of the past."

"We like that Turbonomic shows application metrics and estimates the impact of taking a suggested action. It provides us a map of resource utilization as part of its recommendation. We evaluate and compare that to what we think would be appropriate from a human perspective to that what Turbonomic is doing, then take the best action going forward."

"We can manage multiple environments using a single pane of glass, which is something that I really like."

"The notifications saying, "This is a corrective action," even though some of them can be automated, are always welcome to see. They summarize your entire infrastructure and how you can better utilize it. That is the biggest feature."

More IBM Turbonomic pros

"The solution offers both block access and file access, making it a nice solution for customers."

"The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."

Cons

"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."

"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 implementation could be enhanced."

"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."

"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."

"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."

"Before IBM bought it, the support was fantastic. After IBM bought it, the support became very disappointing."

"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."

More IBM Turbonomic cons

"There are no particular areas for improvement I can identify."

"The solution doesn't have support from OCI, and it should start working to onboard OCI."

Pricing and Cost Advice

"I consider the pricing to be high."

"Everybody tells me the pricing is high. But the ROIs are great."

"What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."

"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."

"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."

"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."

"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."

"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."

More IBM Turbonomic pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

15%

Manufacturing Company

10%

Healthcare Company

Manufacturing Company

35%

Computer Software Company

12%

Financial Services Firm

Real Estate/Law Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Turbonomic?

It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is set as a percentage of the consumption of some of our customers' services. The ...

What needs improvement with Turbonomic?

The implementation could be enhanced.

What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting. This helps us get a consolidated view of all customer spending into a single d...

What do you like most about Spot Ocean?

The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow.

What needs improvement with Spot Ocean?

The solution doesn't have support from OCI, and it should start working to onboard OCI.

What is your primary use case for Spot Ocean?

We use Spot Ocean to manage our Kubernetes infrastructure, including AKS and EKS.

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Product Reports

Download IBM Turbonomic product report

IBM Turbonomic

October 2024

Download Spot by NetApp product report

Cloud Analytics

September 2024

Also Known As

Turbonomic, VMTurbo Operations Manager

Spot Ocean, Spot Elastigroup, Spot Eco

Learn More

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IBM

Interactive Demo

IBM

Demo not available

Overview

IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by companies to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.

IBM Turbonomic leverages AI to continuously analyze application resource consumption, deliver insights and dashboards, and make real-time adjustments. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. By integrating with various cloud platforms, on-premise infrastructures, and containers, IBM Turbonomic provides a holistic view of the environment, ensuring that resources are allocated efficiently.

The solution is designed to support complex IT environments, offering actionable insights and automated actions that help IT teams proactively manage application performance and infrastructure resources. 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.

IBM Turbonomic manages resources across hybrid and on-premises data centers to ensure efficiency and financial impact awareness. It automates resource allocation, balances memory dynamically, and provides robust performance metrics. Users benefit from its ability to prevent resource starvation and offer cost-saving recommendations through continuous management. Executive Dashboards provide insights for cost justification and resource management, making IT operations simpler with AI-driven automation and actionable recommendations.

What are the most important features of IBM Turbonomic?

Automated Resource Allocation: Dynamically allocates resources for optimal performance.
Dynamic Memory Balancing: Adjusts memory allocation to prevent resource shortages.
Right-Sizing: Sizes VMs accurately for Azure and on-prem environments.
Single Platform Management: Manages resources across hybrid and on-premises data centers.
Proactive Performance Optimization: Continuously optimizes performance to prevent issues.
Kubernetes Support: Enhances container management with robust support.
Cost-Saving Recommendations: Provides actionable tips for reducing expenses.

What benefits should users look for in IBM Turbonomic reviews?

Cost Reduction: Helps minimize expenses through efficient resource management.
Performance Improvement: Enhances application performance by preventing resource starvation.
Detailed Insights: Offers comprehensive analytics to justify costs and resource utilization.
Simplified IT Processes: Uses AI automation to streamline operations.

IBM Turbonomic is implemented across multiple industries, including finance for optimizing peak payroll processing, IT for enhanced virtual server management, and healthcare for reliable performance monitoring. Organizations benefit from its robust automation, ensuring maximum efficiency and cost savings.

Spot by NetApp provides efficient cloud infrastructure management, optimizing resource allocation and reducing costs. Ideal for businesses looking to maximize cloud investments.

Spot by NetApp is designed to manage cloud workloads efficiently, offering automation and resource optimization that enhances performance while minimizing costs. Users find it beneficial in dynamic cloud environments, allowing them to manage resources seamlessly. The platform supports diverse methodologies, meeting complex requirements by employing advanced analytics and machine learning for predictive scaling and cost management. While robust, users suggest improvements in its monitoring capabilities and integration with third-party solutions.

What are the essential features of Spot by NetApp?

Predictive Auto Scaling: Anticipates and adjusts resources based on workload demands.
Cost Management: Tracks and optimizes cloud spending.
Automation: Automates routine operations to enhance efficiency.
Real-Time Analytics: Provides insights for decision-making.
Multi-Cloud Support: Enables management across different cloud providers.

What are the benefits or ROI of using Spot by NetApp?

Cost Savings: Reduces unnecessary cloud expenses significantly.
Efficiency: Increases operational efficiency through automation.
Scalability: Supports business growth with flexible resource management.
Improved Performance: Enhances application performance with optimal resource use.

Spot by NetApp finds utility across industries such as e-commerce, healthcare, and finance. Businesses leverage its predictive capabilities to manage cloud costs effectively and enhance operational efficiency. In finance, it supports risk management through analytical insights, while in e-commerce, it boosts performance during high-traffic events.

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.

Freshworks, Zalando, Red Spark, News, Trax, ETAS, Demandbase, BeesWa, Duolingo, intel, IBM, N26, Wix, EyeEm, moovit, SAMSUNG, News UK, ticketmaster