AWS Cost Management [EOL] vs IBM Turbonomic comparison

Amazon Web Services (AWS) and IBM are both solutions in the Cloud Cost Management category. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 98% of IBM users who would recommend it.

AWS Cost Management [EOL]

Read 10 AWS Cost Management [EOL] reviews

83% willing to recommend

IBM Turbonomic

Read 205 IBM Turbonomic reviews

3,257 Views
1,536 Comparison Views

98% willing to recommend

AWS Cost Management [EOL]

IBM Turbonomic

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Executive Summary

We performed a comparison between AWS Cost Management [EOL] and IBM Turbonomic based on real PeerSpot user reviews.

Find out what your peers are saying about IBM, Microsoft, Nutanix and others in Cloud Cost Management.

To learn more, read our detailed Cloud Cost Management Report (Updated: December 2024).

Buyer's Guide

Cloud Cost Management

December 2024

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Helped 824,053 peers since 2012

Categories and Ranking

AWS Cost Management [EOL]

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Turbonomic

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

205

Ranking in other categories

Cloud Migration (5th), Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (1st), IT Operations Analytics (5th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (5th)

Featured Reviews

SaniyaJeswani

Finance consultant at Accenture

Easy to use and provides in-depth information in one place

I would like to see the forecasting models improved with AWS Cost Management. There is too much of a gap between what AWS forecasts and the actual bills we are charged. It is a machine learning system and relies on more data being collected over time. However, so far, we have not seen that.

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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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Quotes from Members

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

Pros

"The initial setup was straightforward. It's not complex at all."

"The product provides the ability to set cost limits and budgets for a set of resources on the network."

"All of the reporting features are very good, as they allow us to track monthly expenses and send relevant emails."

"AWS Cost Management is good for providing in-depth information in one place."

"The tool's cost management feature provides a comprehensive view of AWS costs, allowing us to plan and make cost-effective decisions. With AWS Cost Explorer, we can perform cost planning, generate recommendations, and provide clients with suggestions for resizing. This feature includes data filtering and protection, offering users insights into spending patterns through AWS spending patterns and planning tools. The product is easy to learn."

"The initial setup wasn't complex at all."

"I like the recommendation we get from AWS Cost Management to use a particular image or VM type."

"With the cost management tool, clients can optimize fine tuning their consumption."

More AWS Cost Management [EOL] pros

"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."

"Turbonomic can show us if we're not using some of our storage volumes efficiently in AWS. For example, if we've over-provisioned one of our virtual machines to have dedicated IOPs that it doesn't need, Turbonomic will detect that and tell us."

"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."

"The ability to monitor and automate both the right-sizing of VMs as well as to automate the vMotion of VMs across ESXi hosts."

"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."

"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 solution has a good optimization feature."

"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."

More IBM Turbonomic pros

Cons

"There could be an option to build custom dashboards for the platform."

"AWS could improve the compatibility with other products."

"The solution needs to improve the communication mechanism available to the stakeholders."

"This program is not very scalable."

"AWS Cost Management has fewer features compared to Azure Cost Management."

"Data transfer between S3 buckets within AWS incurs costs, especially when moving data from one bucket to another or downloading data."

"We need finer-grained control over the roles and policies for users, specifying their permissions as to what they can look at."

"The solution needs to have its own dashboard for seeing details on it. It should be customizable as well so I have the ability to pull up the information I need to see and have it in one place for my reference. I should just be able to click and see everything I need in one step."

More AWS Cost Management [EOL] cons

"Some features are only available via changes to the deployment YAML, and it would be better to have them in the UI."

"Recovering resources when they're not needed is not as optimized as it could be."

"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."

"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."

"Remove the need for special in-house knowledge and development."

"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."

"I would love to see Turbonomic analyze backup data. We have had people in the past put servers into daily full backups with seven-year retention and where the disk size is two terabytes. So, every single day, there is a two terabyte snapshot put into a Blob somewhere. I would love to see Turbonomic say, "Here are all your backups along with the age of them," to help us manage the savings by not having us spend so much on the storage in Azure. That would be huge."

"I like the detail I get in the old user interface and will miss some of that in the new interface when we perform our planned upgrade soon."

More IBM Turbonomic cons

Pricing and Cost Advice

"The product is affordable."

"The tool's pricing depends on our services."

"We have signed a long-term contract with AWS. There are different service levels that will determine the level of support you have."

"We get AWS Cost Management for free because we use AWS services."

"AWS Cost Management is free to use."

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

"We see ROI in extended support agreements (ESA) for old software. Migration activities seem to be where Turbonomic has really benefited us the most. It's one click and done. We have new machines ready to go with Turbonomic, which are properly sized instead of somebody sitting there with a spreadsheet and guessing. So, my return on investment would certainly be on currency, from a software and hardware perspective."

"I'm not involved in any of the billing, but my understanding is that is fairly expensive."

"I consider the pricing to be high."

"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."

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

"The product is fairly priced right now. Given its capabilities, it is excellently priced. We think that the product will become self-funding because we will be able to maximize our resources, which will help us from a capacity perspective. That should save us money in the long run."

"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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Top Industries

By visitors reading reviews

Computer Software Company

15%

Manufacturing Company

Financial Services Firm

University

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about AWS Cost Management?

The tool's cost management feature provides a comprehensive view of AWS costs, allowing us to plan and make cost-effective decisions. With AWS Cost Explorer, we can perform cost planning, generate ...

See all answers

What is your experience regarding pricing and costs for AWS Cost Management?

The tool's pricing depends on our services.

See all answers

What needs improvement with AWS Cost Management?

Data transfer between S3 buckets within AWS incurs costs, especially when moving data from one bucket to another or downloading data.

See all answers

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 ...

See all answers

What needs improvement with Turbonomic?

The implementation could be enhanced.

See all answers

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...

See all answers

Comparisons

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Compared 24% of the time

Nutanix Cloud Manager (NCM) vs AWS Cost Management [EOL]

Compared 22% of the time

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VMware Aria Operations vs IBM Turbonomic

Compared 19% of the time

Azure Cost Management vs IBM Turbonomic

Compared 13% of the time

VMware vSphere vs IBM Turbonomic

Compared 9% of the time

Cisco Intersight vs IBM Turbonomic

Compared 8% of the time

Cloudability vs IBM Turbonomic

Compared 6% of the time

More IBM Turbonomic Competitors

Product Reports

Buyer's Guide

AWS Cost Management [EOL]

December 2024

Download AWS Cost Management [EOL] product report

Buyer's Guide

IBM Turbonomic

December 2024

Download IBM Turbonomic product report

Also Known As

Amazon Cost Management

Turbonomic, VMTurbo Operations Manager

Learn More

Amazon Web Services (AWS)

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IBM

Interactive Demo

Demo not available

Amazon Web Services (AWS)

IBM

Overview

AWS Cost Management tools give you visibility into your AWS costs and usage. There are a range of AWS Cost Management tools to help you access, organize, understand, control, and optimize your costs.

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.

Sample Customers

Hess, Expedia, Kelloggs, Philips, HyperTrack

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

Buyer's Guide

Cloud Cost Management

December 2024

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