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AWS Snowball vs IBM Turbonomic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

Review summaries and opinions

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

Categories and Ranking

AWS Snowball
Ranking in Cloud Migration
12th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
10
Ranking in other categories
Data Migration Appliances (1st)
IBM Turbonomic
Ranking in Cloud Migration
4th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (1st), IT Operations Analytics (4th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (5th)
 

Mindshare comparison

As of August 2025, in the Cloud Migration category, the mindshare of AWS Snowball is 0.9%, up from 0.1% compared to the previous year. The mindshare of IBM Turbonomic is 3.7%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Migration
 

Featured Reviews

Kevin-Davis - PeerSpot reviewer
Seamless data transfer and efficient migration with customizable storage sizes
I like that I can take data and send it straight to S3 when it loads in. The interface for getting my data onto the Snowball is so streamlined. I don't know if you've ever seen it before. It's really cool. I connect them to the backplane of our existing network. I'm able to address it quickly and move the data quickly inside my customers' data centers. There's a little screen on it, which changes the UPS codes and all that stuff. The label and everything AWS electronic, so I don't have to deal with shipping issues. It makes it super simple and easy to use from end to end.
Dan Ambrose - PeerSpot reviewer
Helps visibility, bridges the data gap, and frees up time
We use IBM Turbonomic in a hybrid cloud environment. Although it supports multi-cloud capabilities, we currently operate in a single-cloud setting. Turbonomic offers visibility into our environment's performance, spanning across applications, underlying infrastructure, and protection resources. The visibility and analytics help to bridge the data gap between disparate IT teams such as applications and infrastructure. This is important for awareness collaboration, cost saving, and helping to design and improve our application. Enhanced visibility and data analytics have contributed to a significant reduction in our mean time to resolve. Tools like Turbonomic provide crucial visualization and insights, empowering us to make data-driven decisions instead of relying on assumptions as we did before. This newfound transparency translates to a massive improvement, going from complete darkness to having a clear 100 percent view of the situation. Although our applications are not optimized for the cloud we have seen some improvement in response time. IBM Turbonomic empowers us to achieve more with fewer people thanks to automation. Previously, customers frequently contacted us requesting resource increases to resolve issues. Now, we have a tool that allows us to objectively assess their needs, leading to a deeper understanding of our applications. This solution also generates significant cost savings in the cloud and optimizes hardware utilization within our data centers. Its AI algorithm intelligently allocates servers on hosts, maximizing efficiency without compromising performance. By fine-tuning resource allocation without causing performance bottlenecks, Turbonomic extends the lifespan of existing hardware, postponing the need for new purchases. This effectively stretches our capital expenditure budget. We started to see the benefits of IBM Turbonomic within the first 60 days. IBM is a fantastic partner. Their tech support has been outstanding, and the product itself is excellent - a very solid offering. By automating resource management with Turbonomic, our engineers are freed up to focus on more strategic initiatives like innovation and ongoing organizational projects. Previously, manually adding resources was a time-consuming process that interrupted workflows. Now, automation handles scaling efficiently, saving us thousands of man-hours and significant costs. It has illuminated the need for SetOps. It has highlighted areas of overspending, and the actions we've taken have demonstrated significant cost savings. IBM Turbonomic has positively impacted our overall application performance. IBM Turbonomic has helped reduce both CAPEX and OPEX. It has also significantly reduced cloud build times.

Quotes from Members

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

Pros

"The solution is elastic."
"The features I like best are the tool's high capacity, scalability, end-to-end encryption for data security, ease of use, durability, and cost-effectiveness. It's particularly cost-effective for transferring large amounts of data compared to high-speed internet transfers."
"The solution is elastic."
"I like that I can take data and send it straight to S3 when it loads in."
"The support team's awesome, and they've always been very responsive."
"AWS offers managed services which save time and reduce administrative overhead."
"The flexibility of AWS Snowball is valuable. Its security allows for the ability to move and secure data without concern if the device is lost and the option to trace it back to AWS data centers."
"The way the data is moved is very clever. Also, the interface is very simple and user-friendly."
"The feature for optimizing VMs is the most valuable because a number of the agencies have workloads or VMs that are not really being used. Turbonomic enables us to say, 'If you combine these, or if you decide to go with a reserve instance, you will save this much.'"
"On-premises, one advantage I find particularly appealing is the ability to create policies for automatic CPU and memory scaling based on demand."
"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."
"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."
"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 is a good holistic platform that is easy to use. It works pretty well."
"With Turbonomic, we were able to reduce our ESX cluster size and save money on our maintenance and license renewals. It saved us around $75,000 per year but it's a one-time reduction in VMware licensing. We don't renew the support. The ongoing savings is probably $50,000 to $75,000 a year, but there was a one-time of $200,000 plus."
"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.""
 

Cons

"The stability of the solution isn't ideal and should be improved."
"I think AWS Snowball could improve by expanding its availability to more countries."
"The costs of services the customer needs also matter, such as storage requirements and whether storage is rational."
"It's not an easy product to start using for a beginner, but If you're a professional, it's easy to understand."
"There's always room for improvement as you use the service more and gain expertise. Some challenges I've faced include the time factor (data transfer can be time-consuming), data validation after the transfer, risks associated with physical handling and shipping of the device, and ensuring data security during transit."
"It's not cheap."
"AWS support could be more responsive."
"Snowball is not interesting and is a pain to deal with."
"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."
"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."
"Enhanced executive reporting standard with the tool beyond the reports that can be created today. Something that can easily be used with upper management on a monthly or quarterly basis to show the impact to our environment."
"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."
"The management interface seems to be designed for high-resolution screens. Somebody with a smaller-resolution screen might not like the web interface. I run a 4K monitor on it, so everything fits on the screen. With a lower resolution like 1080, you need to scroll a lot. Everything is in smaller windows. It doesn't seem to be designed for smaller screens."
"The implementation could be enhanced."
"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."
"It would be good for Turbonomic, on their side, to integrate with other companies like AppDynamics or SolarWinds or other monitoring softwares. I feel that the actual monitoring of applications, mixed in with their abilities, would help. That would be the case wherever Turbonomic lacks the ability to monitor an application or in cases where applications are so customized that it's not going to be able to handle them. There is monitoring that you can do with scripting that you may not be able to do with Turbonomic."
 

Pricing and Cost Advice

"It's not a cheap solution, but the price is right for the product."
"The tool's pricing depends on the type of Snowball device you choose, the amount of data you need to transfer, and the service fees involved. There’s a standard price for larger data transfers and a flat job fee, which includes the first ten days of on-site usage. Typically, there are no additional data transfer fees."
"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."
"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."
"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."
"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."
"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."
"The pricing and licensing are fair. We purchase based on benchmark pricing, which we have been able to get. There are no surprise charges nor hidden fees."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
14%
Government
8%
Manufacturing Company
8%
Financial Services Firm
12%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Which is better - Microsoft Azure Data Box or AWS Snowball?
Microsoft Azure Databox is a 45-pound, super rugged, tamper-resistant, human-managed hardware appliance that can transfer up to 100TB of data capacity to copy, store, then send to the Azure cloud. ...
What do you like most about AWS Snowball?
The most valuable features of AWS Snowball for me are its security measures and its flexibility.
What is your experience regarding pricing and costs for AWS Snowball?
Depending of what is your priority; UseAWS Snowball if you are heavily invested in AWS or need edge computing features Choose Azure Data Box for smooth integration with Azure and potentially lower ...
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 ...
What needs improvement with Turbonomic?
The implementation could be enhanced.
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...
 

Also Known As

Amazon AWS Snowball, Amazon Snowball, Snowball
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Wazee Digital, Craftsy, Live Nation, Essess
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about AWS Snowball vs. IBM Turbonomic and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.