AWS Import/Export vs AWS Snowball Edge vs Google BigQuery Data Transfer Service
Overview
Detailed Comparison
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. | 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. | 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. |
Data Migration – If you have data you need to upload into the AWS cloud for the first time, AWS Import/Export is often much faster than transferring that data via the Internet.;Content Distribution – Send data to your customers on portable storage devices.;Direct Data Interchange – If you regularly receive content on portable storage devices from your business associates, you can have them send it directly to AWS for import into Amazon S3 or Amazon EBS.;Offsite Backup – Send full or incremental backups to Amazon S3 and Amazon Glacier for reliable and redundant offsite storage.;Disaster Recovery – In the event you need to quickly retrieve a large backup stored in Amazon S3, use AWS Import/Export to transfer the data to a portable storage device and deliver it to your site. | - | - |
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What are some alternatives to AWS Import/Export, AWS Snowball Edge, Google BigQuery Data Transfer Service?
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.
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.
HTTP/2
It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.
Embulk
It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.
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.
Resilio
It offers the industry leading data synchronization tool. Trusted by millions of users and thousands of companies across the globe. Resilient, fast and scalable p2p file sync software for enterprises and individuals.
Flatfile
The drop-in data importer that implements in hours, not weeks. Give your users the import experience you always dreamed of, but never had time to build.
NPOI
It is a .NET library that can read/write Office formats without Microsoft Office installed. No COM+, no interop.
Synth
It is the quickest way to create accurate synthetic clones of your entire data infrastructure. It creates end-to-end synthetic data environments that look and behave exactly like your production data. Down to your data's content and database version.
Gretel
It gives you the first and only APIs to enable you to balance, anonymize, and share your data. With privacy guarantees.
