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AWS Snowball Edge
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 tools integrate with AWS Snowball Edge?
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            What are some alternatives to AWS Snowball Edge and FlyData?
            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.
            Embulk
            It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.
            AWS Import/Export
            Import/Export supports importing and exporting data into and out of Amazon S3 buckets. For significant data sets, AWS Import/Export is often faster than Internet transfer and more cost effective than upgrading your connectivity.
            Google BigQuery Data Transfer Service
            BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code.
            PieSync
            A cloud-based solution engineered to fill the gaps between cloud applications. The software utilizes Intelligent 2-way Contact Sync technology to sync contacts in real-time between your favorite CRM and marketing apps.
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