AWS Cost Explorer vs Google Cloud Billing comparison

Amazon Web Services (AWS) and Google are both solutions in the Cloud Cost Management category. Amazon Web Services (AWS) is ranked #12 with an average rating of 10.0, while Google is ranked #13 with an average rating of 9.0. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

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Executive Summary

We performed a comparison between AWS Cost Explorer and Google Cloud Billing 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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Categories and Ranking

IBM Turbonomic

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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Clint Mitchell

Mgr Cloud Operations at freelancer

Maximized budget efficiency with accurate cost forecasting and responsive support

Primarily, I use AWS Cost Explorer to maintain cost and current budget constraints. Our FinOps team provides us with a budget for the month, and we track our spending to identify where funds are allocated. We have billing alerts set up to notify us when our infrastructure exceeds a certain amount…

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PradeepKumar3

Director Technology Solutions at Redintegro Consulting Solution LLP

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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Quotes from Members

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

Pros

"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."

"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."

"I like Turbonomic's automation and AI machine learning features. It shows you what it can do, but it can also act on recommendations automatically. Integration with an APM system makes the AI/ML features truly effective. Understanding what the application is doing and the trends of application behavior can help you make real-world decisions and act on that information."

"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."

"The system automatically sizes and moves resources based on the needs of the applications."

"I like Turbonomic's built-in reporting. It provides a ton of information out of the box, so I don't have to build panels for the monthly summaries and other reports I need to present to management. We get better performance and bottleneck reporting from this than we do from our older EMC software."

"We have a system where our developers automate machine builds, and that is constantly running out of resources. Turbonomic helps us with that, so I don't have to keep buying hardware. The developers always say, "They don't have enough. They don't have enough. They don't have enough," when they just configured it improperly. Therefore, Turbonomic helps us identify configuration issues on their side so it doesn't cost me money on the other end to buy resources that I don't really need."

"The biggest value I'm getting out of VMTurbo right now is the complete hands-off management of equalizing the usage in my data center."

More IBM Turbonomic pros

"I find the forecasting feature particularly valuable as it helps predict future expenses."

"It is a stable product."

"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."

Cons

"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."

"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 Azure App service, but they can do more."

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

"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."

"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."

"The implementation could be enhanced."

"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."

"After running this solution in production for a year, we may want a more granular approach to how we utilize the product because we are planning to use some of its metrics to feed into our financial system."

More IBM Turbonomic cons

"While there is always room for improvement, any needs for enhancement depend on specific requirements at the time. Currently, I cannot pinpoint any specific improvements needed."

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

"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."

"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."

Pricing and Cost Advice

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

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

"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."

"It is an endpoint type license, which is fine. It is not overly expensive."

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

"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."

"It's worth the time and money investment if you can afford it."

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

More IBM Turbonomic pricing and cost advice

Information not available

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

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824,129 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

No data available

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...

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What needs improvement with Turbonomic?

The implementation could be enhanced.

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What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting...

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

AWS Cost Explorer is part of the AWS package, so the cost is not directly associated with it. If you are using AWS se...

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What needs improvement with AWS Cost Explorer?

While there is always room for improvement, any needs for enhancement depend on specific requirements at the time. Cu...

See all answers

What is your primary use case for AWS Cost Explorer?

Primarily, I use AWS Cost Explorer to maintain cost and current budget constraints. Our FinOps team provides us with ...

See all answers

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 departme...

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Comparisons

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

No data available

Product Reports

Buyer's Guide

IBM Turbonomic

December 2024

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Buyer's Guide

Cloud Cost Management

December 2024

Download AWS Cost Explorer product report

Buyer's Guide

Cloud Cost Management

December 2024

Download Google Cloud Billing product report

Also Known As

Turbonomic, VMTurbo Operations Manager

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IBM

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Amazon Web Services (AWS)

Google

Interactive Demo

IBM

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Amazon Web Services (AWS)

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Google

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.

AWS Cost Explorer has an easy-to-use interface that lets you visualize, understand, and manage your AWS costs and usage over time. Get started quickly by creating custom reports that analyze cost and usage data. Analyze your data at a high level (for example, total costs and usage across all accounts), or dive deeper into your cost and usage data to identify trends, pinpoint cost drivers, and detect anomalies.

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.

Sample Customers

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

Information Not Available

Buyer's Guide

Cloud Cost Management

December 2024

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Find out what your peers are saying about IBM, Microsoft, Nutanix and others in Cloud Cost Management. Updated: December 2024.

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