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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
7th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Management (5th), Virtualization Management Tools (4th), IT Financial Management (1st), IT Operations Analytics (4th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (7th)
 

Mindshare comparison

As of October 2025, in the Cloud Migration category, the mindshare of AWS Snowball is 0.7%, up from 0.5% compared to the previous year. The mindshare of IBM Turbonomic is 3.2%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Migration Market Share Distribution
ProductMarket Share (%)
IBM Turbonomic3.2%
AWS Snowball0.7%
Other96.1%
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

"You are able to scale the solution vertically. It's very scalable."
"The solution is elastic."
"AWS helps save time and costs, being a managed cloud provider with evolving services."
"It's a nice way of shipping a lot of data without using a network."
"The solution is elastic."
"The most valuable features of AWS Snowball for me are its security measures and its flexibility."
"The way the data is moved is very clever. Also, the interface is very simple and user-friendly."
"The support team's awesome, and they've always been very responsive."
"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 automated memory balancing, where it looks at whether it's being used in the most efficient way and adds or takes away memory, is the best part. If it didn't do that, it would be something that I would have to do. We have too many machines for one person to do that. The automation helps me in that it is done in a really efficient way and a balanced way because of the policies. It really helps."
"I only deal with the infrastructure side, so I really couldn't speak to more than load balancing as the most valuable feature for me. It provides specific actions that prevent resource starvation. It always keeps things in perfect balance."
"The primary features we have focused on are reporting and optimization."
"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 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."
"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."
"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."
 

Cons

"I think AWS Snowball could improve by expanding its availability to more countries."
"The stability of the solution isn't ideal and should be improved."
"AWS support could be more responsive."
"It's not cheap."
"It would be helpful if Snowball provided more kinds of connectivity. That will make it easier to add and move data."
"24/7 support is more expensive on AWS compared to Azure."
"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."
"If AWS Snowball is intercepted, there is a potential risk of unauthorized access to the data."
"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."
"The GUI and policy creation have room for improvement. There should be a better view of some of the numbers that are provided and easier to access. And policy creation should have it easier to identify groups."
"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."
"Remove the need for special in-house knowledge and development."
"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."
"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."
"It sometimes does get false positives. Sometimes, it'll move something when it really wasn't a performance metric. I've seen it do that, but it's pretty much an automated tool for performance. We've only got about 500 virtual machines, so lots of times, I'm able to manage it physically, but it's definitely a nice tool for a larger enterprise that might be managing 2,000 or 3,000 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."
 

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."
"Everybody tells me the pricing is high. But the ROIs are great."
"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."
"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 consider the pricing to be high."
"Price is a big one. VMTurbo was very competitively priced."
"I'm not involved in any of the billing, but my understanding is that is fairly expensive."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
13%
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
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business41
Midsize Enterprise57
Large Enterprise147
 

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: September 2025.
869,566 professionals have used our research since 2012.