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AWS Snowball Edge vs FlyData

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AWS Snowball Edge
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FlyData
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AWS Snowball Edge vs FlyData: What are the differences?

Developers describe AWS Snowball Edge as "Petabyte-scale data transport with on-board storage and compute". AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations. On the other hand, FlyData is detailed as "Seamlessly upload your data to Amazon Redshift or from Heroku, and extract business intelligence". FlyData for Amazon Redshift allows you to transfer your data easily and securely to Amazon Redshift. Getting your data onto Amazon Redshift and keeping it up-to-date can be a real hassle. With FlyData for Amazon Redshift, you can automatically upload and migrate your data to Amazon Redshift, after only a few simple steps.

AWS Snowball Edge and FlyData can be primarily classified as "Data Transfer" tools.

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    What is AWS Snowball Edge?

    AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.

    What is FlyData?

    FlyData for Amazon Redshift allows you to transfer your data easily and securely to Amazon Redshift. Getting your data onto Amazon Redshift and keeping it up-to-date can be a real hassle. With FlyData for Amazon Redshift, you can automatically upload and migrate your data to Amazon Redshift, after only a few simple steps.

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    What companies use AWS Snowball Edge?
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    What tools integrate with AWS Snowball Edge?
    What tools integrate with FlyData?
    What are some alternatives to AWS Snowball Edge and FlyData?
    Azure Stack
    The Azure Stack is a portfolio of products that extend Azure services and capabilities to your environment of choice—from the datacenter to edge locations and remote offices. The portfolio enables hybrid and edge computing applications to be built, deployed, and run consistently across location boundaries, providing choice and flexibility to address your diverse workloads.
    Requests
    It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.
    AWS Data Pipeline
    AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
    NPOI
    It is a .NET library that can read/write Office formats without Microsoft Office installed. No COM+, no interop.
    HTTP/2
    It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.
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