We compared Microsoft Azure Data Box and AWS Snowball based on our user's reviews in several parameters.
Microsoft Azure Data Box and AWS Snowball both offer efficient data transfer capabilities, robust security measures, and seamless integration with cloud services. Azure Data Box stands out for its strong offline data transfer capabilities and transparent pricing, while AWS Snowball is praised for its secure job handling and scalable options. Azure Data Box users appreciate its customer service and setup cost, while AWS Snowball users value its pricing and ROI. However, Azure Data Box could improve its interface and performance, while AWS Snowball users desire a more user-friendly interface and faster transfer speeds. Overall, both products offer reliable data transfer solutions with room for enhancement in specific areas.
Features: In terms of valuable features, Microsoft Azure Data Box is praised for its efficient data transfer and seamless integration with existing systems, while AWS Snowball is valued for its secure job handling and seamless integration with various AWS services.
Pricing and ROI: In terms of setup cost, both Microsoft Azure Data Box and AWS Snowball have received positive feedback. Users find Azure Data Box's pricing reasonable and its setup process straightforward. On the other hand, Snowball's setup cost is described as hassle-free and easy to follow. Both offer flexible licensing options., Microsoft Azure Data Box provides increased efficiency, scalability, and cost-effectiveness in data management. Users appreciate seamless migration, data protection, and improved performance. It contributes to higher ROI for businesses. AWS Snowball offers significant cost savings, improved data transfer speeds, seamless integration, and enhanced data security. Users praise its ease of use, efficiency, and scalability in managing and transferring data. The ROI from AWS Snowball delivers tangible benefits to businesses.
Room for Improvement: Microsoft Azure Data Box could benefit from enhancements to its interface, usability, navigation, documentation, performance, compatibility, and integration. AWS Snowball needs improvements in its interface, documentation, data validation, transfer speeds, customization options, and data encryption features.
Deployment and customer support: The user reviews show that the duration required for establishing a new tech solution with Microsoft Azure Data Box can vary from taking three months for deployment and an additional week for setup to just one week for both. On the other hand, AWS Snowball also has varying timeframes, with some users taking three months for deployment and others taking a week for setup. However, there were also users who mentioned taking just one week for both deployment and setup with AWS Snowball., Microsoft Azure Data Box has received positive feedback regarding its customer service and support. Customers appreciate the prompt assistance and expertise of the support staff. On the other hand, AWS Snowball is also praised for its efficient and reliable customer service. Users have mentioned receiving quick assistance and detailed guidance.
The summary above is based on 7 interviews we conducted recently with Microsoft Azure Data Box and AWS Snowball users. To access the review's full transcripts, download our report.
"The way the data is moved is very clever. Also, the interface is very simple and user-friendly."
"You are able to scale the solution vertically. It's very scalable."
"It's a nice way of shipping a lot of data without using a network."
"The most valuable features of AWS Snowball for me are its security measures and its flexibility."
"It provides secure transfer of large amounts of data."
"We use the solution for integration purposes."
"The Azure Data Box saves us a great deal of time when migrating data to Azure."
"It is a good fit with ease of integration there."
"We're looking at this solution because it's part of an overall tool suite, so the integration piece is what's striking our interest in it."
"The solution has allowed the organization to safely transfer and store into the cloud easily and quickly large amounts of data that can then be readily accessed."
"Microsoft Azure Data Box has much more usability than other tools like it. It is very intuitive."
"One valuable aspect is the support we receive from Microsoft Azure vendors."
"It's not an easy product to start using for a beginner, but If you're a professional, it's easy to understand."
"It would be helpful if Snowball provided more kinds of connectivity. That will make it easier to add and move data."
"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."
"For me it doesn't work well. ... If you are a non-Microsoft shop, to use Microsoft Azure Data Box, you would need to integrate it with your other vendors, and whether or not that will be possible will depend on the platform or platforms that host them."
"When it comes to old applications, they may not be the most suitable environment for Microsoft's current focus on Azure and the latest technologies. It would be helpful if Microsoft could provide some guidelines or recommendations for transitioning from old to new."
"On an enterprise level, a per-user license for more than 1,000 users is very costly."
"The device must be transported off-site before the data is uploaded into the Microsoft Azure Cloud."
"Deployment can be a major challenge. It's important to understand the organization's policies, the data store where the data will be going, the necessary permissions, and the specific type of Data Box being used. We also need to consider the encryption keys that need to be utilized."
"I am not confident in this device's ability to perform a network backup in our data center."
"The solution is straightforward with simple application migration, but plug-and-play AI is not involved simultaneously."
"It's a single node solution. If it can be spread out across more of the enterprise and have more segregation in its virtual environment, that would be good."
AWS Snowball is ranked 2nd in Data Migration Appliances with 5 reviews while Microsoft Azure Data Box is ranked 1st in Data Migration Appliances with 8 reviews. AWS Snowball is rated 9.0, while Microsoft Azure Data Box is rated 8.6. The top reviewer of AWS Snowball writes "Excellent for handling large-scale data transfers". On the other hand, the top reviewer of Microsoft Azure Data Box writes "Efficiently handles heavy incoming traffic and maintains stable operations without crashing the application ". AWS Snowball is most compared with Google Transfer Appliance, IBM Cloud Mass Data Migration, Palantir Foundry and AWS Snowball Edge, whereas Microsoft Azure Data Box is most compared with Google Transfer Appliance, Palantir Foundry, AWS Snowball Edge and IBM Cloud Mass Data Migration.
See our list of best Data Migration Appliances vendors.
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