AWS Data Pipeline vs FlyData: What are the differences?
Developers describe AWS Data Pipeline as "Process and move data between different AWS compute and storage services". 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. 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 Data Pipeline and FlyData belong to "Data Transfer" category of the tech stack.
Some of the features offered by AWS Data Pipeline are:
- 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
On the other hand, FlyData provides the following key features:
- We support four data formats for uploading data to Amazon Redshift: JSON, CSV, TSV, and APACHE logs
- FlyData sends your data to Amazon Redshift every 5 minutes. This process is automated, so once the setup is complete, your data on Amazon Redshift will be up-to-date.
- FlyData for Heroku will backup all of your logs onto your Amazon S3 bucket, just by adding the FlyData add-on to your application and setting configurations to your S3 bucket.