AWS Savings Plans vs Zesty comparison

Amazon Web Services (AWS) and Zesty are both solutions in the Cloud Cost Management category. Amazon Web Services (AWS) is ranked #6 with an average rating of 9.0, while Zesty is ranked #9 with an average rating of 9.5. Amazon Web Services (AWS) holds a 2.3% mindshare in CCM, compared to Zesty’s 2.4% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Zesty users who would recommend it.

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS Savings Plans and Zesty 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. Zesty Report (Updated: December 2024).

Buyer's Guide

AWS Savings Plans vs. Zesty

December 2024

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Categories and Ranking

IBM Turbonomic

Mindshare comparison

As of December 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 2.3%, down from 4.5% compared to the previous year. The mindshare of Zesty is 2.4%, up from 2.2% 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

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

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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Jeffery Smith

Vice President at Centro, Inc.

Effortless cost management with automated instance adjustment and helpful support

There are different resource types that we would like to leverage and get reserved instances for, such as RDS instances. Currently, no mechanism within Zesty allows this, but this may be due to AWS limitations. Another point is that Zesty needs to react to any changes AWS makes, but they have been proactive in their communication regarding material impacts.

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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 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."

"Turbonomic helps us right-size virtual machines to utilize the available infrastructure components available and suggest where resources should exist. We also use the predictive tool to forecast what will happen when we add additional compute-demanding virtual machines or something to the environment. It shows us how that would impact existing resources. All of that frees up time that would otherwise be spent on manual calculation."

"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."

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

"With over 2500 ESX VMs, including 1500+ XenDesktop VDI desktops, hosted over two datacentres and 80+ vSphere hosts, firefighting has become something of the past."

"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 most valuable features are the cluster utilization reports and the resource capacity planning. We can simulate how much capacity we can add to the current resources. The individual DM reports and VM-facing recommendations report are also helpful."

"The solution has a good optimization feature."

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 turnkey aspect of Zesty is very valuable."

"One of the reasons we decided to onboard Zesty was that it started supporting Windows instances."

Cons

"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."

"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 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."

"It can be more agnostic in terms of the solutions that it provides. It can include some other cost-saving methods for the public cloud and SaaS applications as well."

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

"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."

"There are a few things that we did notice. It does kind of seem to run away from itself a little bit. It does seem to have a mind of its own sometimes. It goes out there and just kind of goes crazy. There needs to be something that kind of throttles things back a little bit. I have personally seen where we've been working on things, then pulled servers out of the VMware cluster and found that Turbonomic was still trying to ship resources to and from that node. So, there has to be some kind of throttling or ability for it to not be so buggy in that area. Because we've pulled nodes out of a cluster into maintenance mode, then brought it back up, and it tried to put workloads on that outside of a cluster. There may be something that is available for this, but it seems very kludgy to me."

More IBM Turbonomic cons

"The visibility of AWS Savings Plans could improve."

"The most complex aspect was configuring the VPN."

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

"There are different resource types that we would like to leverage and get reserved instances for, such as RDS instances."

"I would like to get RDS-reserved instances that I could buy and sell, but that's a limitation on AWS."

Pricing and Cost Advice

"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."

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

"I consider the pricing to be high."

"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."

"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 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."

"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."

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

More IBM Turbonomic pricing and cost advice

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

"The solution’s pricing is reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

Computer Software Company

19%

Financial Services Firm

15%

Manufacturing Company

15%

Real Estate/Law Firm

Financial Services Firm

14%

Manufacturing Company

13%

Insurance Company

Computer Software 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...

See all answers

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...

See all answers

What needs improvement with AWS Savings Plans?

AWS make it easier to configure the VPN,

See all answers

What is your experience regarding pricing and costs for Zesty?

Their pricing is brilliant. It is a percentage of what they save us by using reserved instances. If they save us $25,...

See all answers

What needs improvement with Zesty?

There are different resource types that we would like to leverage and get reserved instances for, such as RDS instanc...

See all answers

What is your primary use case for Zesty?

We predominantly use Zesty to manage our spend in AWS, specifically around reserving instances for our compute worklo...

See all answers

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

Azure Cost Management vs AWS Savings Plans

Compared 59% of the time

More AWS Savings Plans Competitors

Spot by NetApp vs Zesty

Compared 54% of the time

More Zesty Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

December 2024

Download IBM Turbonomic product report

Buyer's Guide

Cloud Cost Management

December 2024

Download AWS Savings Plans product report

Buyer's Guide

Cloud Management

November 2024

Download Zesty product report

Also Known As

Turbonomic, VMTurbo Operations Manager

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Amazon Web Services (AWS)

Zesty

Interactive Demo

IBM

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Amazon Web Services (AWS)

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Zesty

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.

Zesty is used for optimizing cloud infrastructure costs, automating resource scaling, providing real-time visibility into spending, and managing unused resources efficiently. It helps maintain budget control while scaling operations, making cloud deployment cost-effective.

Zesty offers a comprehensive approach to cloud cost management, focusing on real-time optimization, resource scaling automation, and spending visibility. Designed to reduce wastage and ensure efficient cloud operations, it integrates seamlessly with existing systems, providing detailed analytics and actionable insights. Users find Zesty's intuitive dashboard and effective cost-saving tools instrumental in maintaining budget control. However, improvements are needed in performance speed, functionality, and support responsiveness. Limited customization options and insufficient onboarding resources also present challenges for new users.

What are Zesty's key features?

Real-time optimization: Continuously adjusts resources to minimize costs.
Automated resource management: Scales resources automatically based on demand.
Intuitive dashboard: Offers user-friendly interface for easy monitoring and management.
Detailed analytics: Provides insights into spending and resource usage.
Seamless integration: Fits smoothly with existing systems without disruption.
Scalability: Supports efficient resource allocation as operations expand.
Customer support: Available for assistance, although sometimes noted as unresponsive.

What benefits and ROI should users look for?

Cost reduction: Significant savings by minimizing unnecessary cloud expenses.
Efficiency: Automation reduces manual intervention and improves resource management.
Budget control: Enhanced visibility into spending helps maintain financial oversight.
Time savings: Streamlined operations free up time for other strategic tasks.
Improved scalability: Supports growth without compromising performance or costs.

Zesty is implemented across industries that demand efficient cloud cost management and resource optimization. For tech companies, it streamlines scalability and supports rapid growth without ballooning costs. Financial services use it for budget control and to maintain operational efficiency. Educational institutions benefit from its ability to manage large-scale deployments economically. Each industry finds Zesty's automation and analytics crucial for staying competitive and maintaining lean operations.

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

Walkme, Wiz, Gong, Grubhub, Singular

Buyer's Guide

AWS Savings Plans vs. Zesty

December 2024

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