IBM Turbonomic vs Spot by NetApp comparison

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IBM Turbonomic

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Executive SummaryUpdated on Dec 17, 2024

IBM Turbonomic and Spot by NetApp are competing products in the field of cloud cost management and optimization. Spot by NetApp is favored for its advanced features and better perceived value, according to user data.

Features: IBM Turbonomic supports performance optimization, automation capabilities, and comprehensive monitoring for efficient resource management. Spot by NetApp provides dynamic optimization with predictive scaling, real-time insights, and a focus on predictive analytics, offering an edge in feature richness.

Ease of Deployment and Customer Service: IBM Turbonomic offers a streamlined deployment process with attentive customer support. Spot by NetApp has quick deployment and slightly better-received responsive service, making deployment speed a notable advantage.

Pricing and ROI: IBM Turbonomic has a reasonable setup cost, delivering good ROI through resource management and cost control. Spot by NetApp may require a higher initial investment but is seen as offering substantial ROI through enhanced features and cost optimization strategies.

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

IBM Turbonomic vs. Spot by NetApp

December 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

Reviews Sentiment

7.4

Number of Reviews

205

Ranking in other categories

Cloud Migration (5th), Virtualization Management Tools (3rd), IT Financial Management (1st), IT Operations Analytics (5th), AIOps (5th)

Spot by NetApp

Ranking in Cloud Management

30th

Ranking in Cloud Analytics

3rd

Ranking in Cloud Cost Management

8th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Server Virtualization Software (14th), Cloud Operations Analytics (1st), Compute Service (10th), Containers as a Service (CaaS) (6th)

Featured Reviews

SubashSubbiah

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

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

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

Spot Ocean is deployed on the cloud in our organization. I would recommend the solution to other users. You need to have an experience with Kubernetes, or else this product is of no use. It is not difficult to learn to use Spot Ocean. Overall, I rate the solution a seven out of ten.

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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

"We have VM placement in Automated mode and currently have all other metrics in Recommend mode."

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

"The solution has a good optimization feature."

"We've saved hundreds of hours. Most of the time those hours would have to be after hours as well, which are more valuable to me as that's my personal time."

"The tool provides the ability to look at the consumption utilization over a period of time and determine if we need to change that resource allocation based on the actual workload consumption, as opposed to how IT has configured it. Therefore, we have come to realize that a lot of our workloads are overprovisioned, and we are spending more money in the public cloud than we need to."

"Before implementing Turbonomic, we had difficulty reaching a consensus about VM placement and sizing. Everybody's opinion was wrong, including mine. The application developers, implementers, and infrastructure team could never decide the appropriate size of a virtual machine. I always made the machines small, and they always made them too big. We were both probably wrong."

"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."

"It also brings up a list of machines and if something is under-provisioned and needs more compute power it will tell you, 'This server needs more compute power, and we suggest you raise it up to this level.' It will even automatically do it for you. In Azure, you don't have to actually go into the cloud provider to resize. You can just say, 'Apply these resizes,' and Turbonomic uses some back-end APIs to make the changes for you."

More IBM Turbonomic pros

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

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

Cons

"Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."

"Enhanced executive reporting standard with the tool beyond the reports that can be created today. Something that can easily be used with upper management on a monthly or quarterly basis to show the impact to our environment."

"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."

"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 doesn't do storage placement how I would prefer. We use multiple shared storage volumes on VMware, so I don't have one big disk. I have lots of disks that I can place VMs on, and that consumes IOPS from the disk subsystem. We were getting recommendations to provision a new volume."

"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."

"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."

"The planning and costing areas could be a little bit more detailed. When you have more than 2,000 machines, the reports don't work properly. They need to fix it so that the reports work when you use that many virtual machines."

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

"IBM Turbonomic is an investment that we believe will deliver positive returns."

"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."

"I know there have been some issues with the billing, when the numbers were first proposed, as to how much we would save. There was a huge miscommunication on our part. Turbonomic was led to believe that we could optimize our AWS footprint, because we didn't know we couldn't. So, we were promised savings of $750,000. Then, when we came to implement Turbonomic, the developers in AWS said, "Absolutely not. You're not putting that in our environment. We can't scale down anything because they coded it." Our AWS environment is a legacy environment. It has all these old applications, where all the developers who have made it are no longer with the company. Those applications generate a ton of money for us. So, if one breaks, we are really in trouble and they didn't want to have to deal with an environment that was changing and couldn't be supported. That number went from $750,000 to about $450,000. However, that wasn't Turbonomic's fault."

"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."

"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."

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

"In the last year, Turbonomic has reduced our cloud costs by $94,000."

"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

15%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

Manufacturing Company

34%

Computer Software Company

13%

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?

There are no particular areas for improvement I can identify.

What is your primary use case for Spot Ocean?

Spot by NetApp is primarily used for backup and also for Fiservware.

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Product Reports

Download IBM Turbonomic product report

IBM Turbonomic

December 2024

Download Spot by NetApp product report

Cloud Analytics

November 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