AWS Data Pipeline vs Google BigQuery Data Transfer Service
Overview
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Detailed Comparison
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. | 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. |
You can find (and use) a variety of popular AWS Data Pipeline tasks in the AWS Management Console’s template section.;Hourly analysis of Amazon S3‐based log data;Daily replication of AmazonDynamoDB data to Amazon S3;Periodic replication of on-premise JDBC database tables into RDS | - |
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What are some alternatives to AWS Data Pipeline, Google BigQuery Data Transfer Service?
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.
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.
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.
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.
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.
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.
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.
