AWS Data Pipeline vs SyncSpider: What are the differences?

AWS Data Pipeline: 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; SyncSpider: Synchronize your Webapp data across 100’s of channels and platforms. Automatically sync all your Webapp data like contacts, support tickets, tasks and product details to your CRM or to other apps. It will easily automate your everyday time-consuming tasks.

AWS Data Pipeline and SyncSpider can be primarily classified as "Data Transfer" tools.

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, SyncSpider provides the following key features:

• Synchronize your Webapp data across 100’s of channels
• Keep your contacts in sync across all your platforms
• Automate your everyday time consuming task