Google Cloud Billing vs IBM Turbonomic comparison

Google and IBM are both solutions in the Cloud Cost Management category. Google is ranked #13 with an average rating of 9.0, while IBM is ranked #1 with an average rating of 8.4. Google holds a 1.6% mindshare in CCM, compared to IBM’s 16.6% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 98% of IBM users who would recommend it.

Google Cloud Billing

Read 3 Google Cloud Billing reviews

212 Views
150 Comparison Views

100% willing to recommend

IBM Turbonomic

Read 205 IBM Turbonomic reviews

3,418 Views
1,576 Comparison Views

98% willing to recommend

Google Cloud Billing

IBM Turbonomic

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Executive Summary

We performed a comparison between Google Cloud Billing and IBM Turbonomic based on real PeerSpot user reviews.

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

To learn more, read our detailed Google Cloud Billing vs. IBM Turbonomic Report (Updated: October 2024).

Buyer's Guide

Google Cloud Billing vs. IBM Turbonomic

October 2024

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Categories and Ranking

Google Cloud Billing

Ranking in Cloud Cost Management

13th

Average Rating

8.4

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Turbonomic

Ranking in Cloud Cost Management

1st

Average Rating

8.8

Number of Reviews

205

Ranking in other categories

Cloud Migration (5th), Cloud Management (4th), Virtualization Management Tools (3rd), Cloud Analytics (1st)

Mindshare comparison

As of November 2024, in the Cloud Cost Management category, the mindshare of Google Cloud Billing is 1.6%, up from 1.3% compared to the previous year. The mindshare of IBM Turbonomic is 16.6%, up from 14.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Cost Management

Featured Reviews

PradeepKumar3

Director Technology Solutions at Redintegro Consulting Solution LLP

Aug 22, 2022

Simple to set up with helpful for cost management and good reliability

The only issue I faced was a while ago. My card was debited, or rather it was showing as debited when in actuality, it did not debit my card. After six months, they came back with back billing. Somebody should have verified the billing and immediately informed us. So yeah, However, six months is too late to identify such fault sightings. When I want to analyze the information, it would be better, since Google knows what I have used, to only show those items for analysis purposes. Especially when I look at a previous month's billing or usage across services. It's better to show the services which are used, not everything.

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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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Quotes from Members

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

Pros

"What I like most about this solution is that it's easy."

"We use Google Cloud Billing to pay for or renew the license of our Google Workspace products."

"It is a stable product."

"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."

"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 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."

"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."

"We have seen a 30% performance improvement overall."

"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."

"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."

More IBM Turbonomic pros

Cons

"At times you will find that the computer engines are freezing or it's about to freeze without any notification or information and it's unable to diagnose where it is hung."

"Google Cloud Billing should have a more user-friendly interface."

"When I want to analyze the information, it would be better, since Google knows what I have used, to only show those items for analysis purposes."

"It would be nice for them to have a way to do something with physical machines, but I know that is not their strength Thankfully, the majority of our environment is virtual, but it would be nice to see this type of technology across some other platforms. It would be nice to have capacity planning across physical machines."

"The way it handles updates needs to be improved."

"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."

"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."

"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."

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

"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."

"There is room for improvement [with] upgrades. We have deployed the newer version, version 8 of Turbonomic. The problem is that there is no way to upgrade between major Turbonomic versions. You can upgrade minor versions without a problem, but when you go from version 6 to version 7, or version 7 to version 8, you basically have to deploy it new and let it start gathering data again. That is a problem because all of the data, all of the savings calculations that had been done on the old version, are gone. There's no way to keep track of your lifetime savings across versions."

More IBM Turbonomic cons

Pricing and Cost Advice

"The licensing fees are monthly and cost approximately $100.00."

"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."

"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."

"When we have expanded our licensing, it has always been easy to make an ROI-based decision. So, it's reasonably priced. We would like to have it cheaper, but we get more benefit from it than we pay for it. At the end of the day, that's all you can hope for."

"Price is a big one. VMTurbo was very competitively priced."

"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."

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

"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."

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

More IBM Turbonomic pricing and cost advice

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Top Industries

By visitors reading reviews

Retailer

16%

University

14%

Government

10%

Media Company

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

11%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Cloud Billing?

We use Google Cloud Billing to pay for or renew the license of our Google Workspace products.

See all answers

What needs improvement with Google Cloud Billing?

Google Cloud Billing should have a more user-friendly interface.

See all answers

What advice do you have for others considering Google Cloud Billing?

Google Cloud Billing is a cloud-based solution. Only administrators, directors, and the finance or marketing departments can access Google Cloud Billing. Overall, I rate Google Cloud Billing a nine...

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

No data available

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Compared 9% of the time

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Cloudability vs IBM Turbonomic

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Product Reports

Buyer's Guide

Cloud Cost Management

November 2024

Download Google Cloud Billing product report

Buyer's Guide

IBM Turbonomic

October 2024

Download IBM Turbonomic product report

Also Known As

No data available

Turbonomic, VMTurbo Operations Manager

Learn More

Google

Video not available

IBM

Interactive Demo

Demo not available

Google

IBM

Overview

Google Cloud's cost management tools provide the visibility, accountability, control, and intelligence you need so that you can scale your business in the cloud with confidence. Tailored to meet the needs of organizations of all sizes, these tools help reduce complexity and increase the predictability of your cloud 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

Information Not Available

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

Buyer's Guide

Google Cloud Billing vs. IBM Turbonomic

October 2024

Free Report: Google Cloud Billing vs. IBM Turbonomic

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