AWS Savings Plans vs Cloudability comparison

Amazon Web Services (AWS) and Apptio are both solutions in the Cloud Cost Management category. Amazon Web Services (AWS) is ranked #6 with an average rating of 9.0, while Apptio is ranked #4 with an average rating of 8.1. Amazon Web Services (AWS) holds a 2.4% mindshare in CCM, compared to Apptio’s 13.2% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 75% of Apptio users who would recommend it.

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Executive Summary

We performed a comparison between AWS Savings Plans and Cloudability 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 AWS Savings Plans vs. Cloudability Report (Updated: October 2024).

Buyer's Guide

AWS Savings Plans vs. Cloudability

October 2024

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Categories and Ranking

IBM Turbonomic

Mindshare comparison

As of November 2024, in the Cloud Cost Management category, the mindshare of IBM Turbonomic is 16.6%, up from 14.5% compared to the previous year. The mindshare of AWS Savings Plans is 2.4%, down from 5.3% compared to the previous year. The mindshare of Cloudability is 13.2%, up from 10.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Cost Management

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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Raul G. Cortina

IT Manager at CONCRETOS LA SILLA

Apr 16, 2024

Flexible and a good solution for user with different environments

The setup was generally easy. The most complex aspect was configuring the VPN. While not overly difficult, it was more challenging compared to setting up other VPNs. However, once we resolved the initial VPN configuration issue, everything has been smooth sailing. It's a matter of familiarity. Initially, the technology is unfamiliar, but with experience, configuration becomes easier. Deployment time: We didn't have any problems. We determined the implementation date, considered the transition for ourselves and our users, and it went smoothly. Maintenance: There isn't much required. If the stability, resolution, and capacity planning are correct for our needs, or if we need to expand storage, then maintenance is mostly handled by our banking team.

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Vijay More

Technical Lead at a financial services firm with 1,001-5,000 employees

May 22, 2024

Helps to understand and manage spending across clouds, but has dashboard limitations

Cloudability offers valuable insights into data engineering and analytics platforms. With access to the same data Cloudability utilizes, one could recreate similar dashboards on their own data platform. This implies that Cloudability's role could be replaceable with some organizational effort, provided they have the necessary data sources and expertise. However, for organizations looking to streamline processes without investing extensive time, money, and resources into building their solution, Cloudability serves as a convenient option. Moreover, it offers benefits for both single-cloud and multi-cloud users. While it's beneficial for single-cloud users, it becomes particularly advantageous for organizations with multi-cloud environments, as it helps manage costs and optimize resources across different cloud providers.

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

"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."

"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 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 automation and orchestration components are definitely the best part, as you can tell it what it can do and when, and just let it be."

"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."

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

More IBM Turbonomic pros

"The initial setup is very easy."

"AWS is consistently innovating and releasing new products and features."

"The most valuable feature of AWS Savings Plans is we can discuss budgets briefly during our confirmation process since we are aware of our usual consumption patterns. Creating budgets in this regard would be beneficial, as it would allow us to consume only what we need, without including reserve instances that do not serve our purpose."

"The most crucial feature in reducing my cloud costs has been the rightsizing recommendations, along with the dashboards that track reserved instance spending coverage and utilization. As for Cloudability's integration with our existing cloud infrastructure, it's not integrated directly into our AWS infrastructure but rather reads and pulls data from it, providing valuable insights and analysis for cost management."

"The support from IBM is fantastic"

"The pricing isn't too expensive."

"Transparency and visibility are the key features."

"The most valuable feature of the solution is its ability to create reports and dashboards."

"It provides us visibility, then we can turn around and can give the leadership team more information, which we could not previously give them."

"All the tagging and mapping, which helps to create some virtual tags are useful features."

"It has already given us insight into how to optimize. So, we are now ramping up steadily its usage."

More Cloudability pros

Cons

"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 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."

"They have a long road map when we ask for certain things that will make the product better. It takes time, but that's understandable because there are other things that are higher on the priority list."

"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."

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

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

"The old interface was not the clearest UI in some areas, and could be quite intimidating when first using the tool."

"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."

More IBM Turbonomic cons

"The most complex aspect was configuring the VPN."

"The visibility of AWS Savings Plans could improve."

"In the future, it would be interesting if there could be a combination of Savings Plans and some Reserved Servers."

"We would like them to have a linear regression, so we can be predictive for budgets, allocations, and the year's follow ups. We also want to have a longer window of analytics with better certainty that our workload will fit the model, not just in a two week window."

"Right now, what we're doing is we are manually putting the data in it, which is something which we don't like about Cloudability."

"There is always room for improvement in education and training. We are not that mature in terms of our automation. It could help us identify where we could optimize in terms of build."

"In general, I feel Cloudability wasn't able to support many resources."

"I would like the API functionality to improve. The update time after uploading data could also be improved."

"The API is not well-documented. It is not straightforward and difficult to use. This needs to be improved, as it is very difficult for our developers to develop automation around it."

"There are also some limitations with the dashboards and data representation in Cloudability."

"I would improve the integration, or the preparation of the integration, for a complex environment."

More Cloudability cons

Pricing and Cost Advice

"I have not seen Turbonomic's new pricing since IBM purchased it. When we were looking at it in my previous company before IBM's purchase, it was compatible with other tools."

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

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

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

"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."

"I don't know the current prices, but I like how the licensing is based on the number of instances instead of sockets, clusters, or cores. We have some VMs that are so heavy I can only fit four on one server. It's not cost-effective if we have to pay more for those. When I move around a VM SQL box with 30 cores and a half-terabyte of RAM, I'm not paying for an entire socket and cores where people assume you have at least 10 or 20 VMs on that socket for that pricing."

"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."

"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."

More IBM Turbonomic pricing and cost advice

"Compared to Azure or Google, the solution is much cheaper."

"The price of the license or the usage is a percentage of the top consumption. So it varies from year to year."

"It justifies the cost and is worth it."

"Cloudability is a bit expensive."

"My team is one of the most expensive teams, and we look at it quite a bit. We have probably easily saved around $400,000 USD a year."

"We have seen ROI with the reserved instances, and having the ability to predict what reserved instances you can get. We can save tens of thousands of dollars, and hundreds of thousands of dollars in some cases."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

11%

Healthcare Company

Computer Software Company

20%

Financial Services Firm

17%

Manufacturing Company

15%

Real Estate/Law Firm

Financial Services Firm

21%

Computer Software Company

13%

Manufacturing Company

12%

Healthcare Company

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.

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...

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What do you like most about AWS Savings Plans?

The most valuable feature of AWS Savings Plans is we can discuss budgets briefly during our confirmation process sinc...

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What is your experience regarding pricing and costs for AWS Savings Plans?

We have a fixed cost of five thousand, plus an additional six thousand per month. So, it is about seventy-two thousan...

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What needs improvement with AWS Savings Plans?

AWS make it easier to configure the VPN,

See all answers

What do you like most about Cloudability?

The most crucial feature in reducing my cloud costs has been the rightsizing recommendations, along with the dashboar...

See all answers

What is your experience regarding pricing and costs for Cloudability?

I would rate the pricing an eight out of ten, where one is very cheap and ten is very expensive. Pricing is one of th...

See all answers

What needs improvement with Cloudability?

The first one is, how to help users, especially practitioners, stick to their commitment plan. For example, how can I...

See all answers

Comparisons

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Compared 9% of the time

VMWare Tanzu CloudHealth vs IBM Turbonomic

Compared 6% of the time

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Azure Cost Management vs AWS Savings Plans

Compared 66% of the time

Zesty vs AWS Savings Plans

Compared 34% of the time

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Azure Cost Management vs Cloudability

Compared 19% of the time

VMWare Tanzu CloudHealth vs Cloudability

Compared 14% of the time

Apptio One vs Cloudability

Compared 14% of the time

Densify vs Cloudability

Compared 12% of the time

CloudCheckr vs Cloudability

Compared 8% of the time

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Product Reports

Buyer's Guide

IBM Turbonomic

October 2024

Download IBM Turbonomic product report

Buyer's Guide

Cloud Cost Management

November 2024

Download AWS Savings Plans product report

Buyer's Guide

Cloudability

November 2024

Download Cloudability product report

Also Known As

Turbonomic, VMTurbo Operations Manager

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IBM

Amazon Web Services (AWS)

Apptio

Interactive Demo

IBM

Demo not available

Amazon Web Services (AWS)

Demo not available

Apptio

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.

Savings Plans is a flexible pricing model that provides savings of up to 72% on your AWS compute usage. This pricing model offers lower prices on Amazon EC2 instances usage, regardless of instance family, size, OS, tenancy or AWS Region, and also applies to AWS Fargate usage.

Cloudability is a financial management tool for monitoring and analyzing every cloud expense across any organization. It brings transparency to how and where organizations spend money on cloud resources, giving them the power to reap the most value from cloud usage possible. It aggregates expenditures into accessible and comprehensive reports, helps identify new opportunities for reducing spend and increasing cloud efficiency, offers budget alerts and recommendations via SMS and email, provides APIs for connecting cloud billing and usage data to any business or financial system, and more.

Sample Customers

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

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Adobe, Uber, Pega, imgur, Pixable, Blackboard, Keboola, Avalara

Buyer's Guide

AWS Savings Plans vs. Cloudability

October 2024

Free Report: AWS Savings Plans vs. Cloudability

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