Microsoft Azure Data Box is designed to handle large amounts of data effectively, just like Snowball. I have been using it for edge solutions, especially for IoT applications. I am currently working with a client on utilizing the Data Box for extensive IoT data, particularly real-time data. It plays a crucial role in shipping the data back to the Azure Data Center.
Sr. Engineer at a tech company with 51-200 employees
Real User
2021-12-03T02:51:00Z
Dec 3, 2021
There are a variety of use cases for Microsoft Azure Data Box. If you are a Microsoft shop, you do not want to work with glue, so that is why you would go with Microsoft Azure Data Box. If you are in a non-Microsoft environment, you don't want to work with a Microsoft product. But, it does provide a solution that integrates non-Microsoft products, both in AWS and Azure. At the end of the day, you do not want to pay for extra data storage. You do not want to pay both for AWS and Azure because you are going to need to replicate data across two cloud bases. It is all cost-based.
Enterprise Data Architect at a financial services firm with 51-200 employees
Real User
2020-03-18T06:06:00Z
Mar 18, 2020
We are a solution provider I have worked on two different projects with the Azure Data Box. It was used to back up all of the data from different teams for the purpose of DLP. We backed up more than 400 terabytes in total.
Find out in this report how the two Data Migration Appliances solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We use the solution to migrate on-premise data and move legacy applications to the cloud.
Microsoft Azure Data Box is designed to handle large amounts of data effectively, just like Snowball. I have been using it for edge solutions, especially for IoT applications. I am currently working with a client on utilizing the Data Box for extensive IoT data, particularly real-time data. It plays a crucial role in shipping the data back to the Azure Data Center.
We're looking at using this solution for some of our big data platforms. For example, creating data lakes and things like that.
There are a variety of use cases for Microsoft Azure Data Box. If you are a Microsoft shop, you do not want to work with glue, so that is why you would go with Microsoft Azure Data Box. If you are in a non-Microsoft environment, you don't want to work with a Microsoft product. But, it does provide a solution that integrates non-Microsoft products, both in AWS and Azure. At the end of the day, you do not want to pay for extra data storage. You do not want to pay both for AWS and Azure because you are going to need to replicate data across two cloud bases. It is all cost-based.
We are a solution provider I have worked on two different projects with the Azure Data Box. It was used to back up all of the data from different teams for the purpose of DLP. We backed up more than 400 terabytes in total.