AWS Data Pipeline vs PieSync: 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; PieSync: A true customer data sync. 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.

AWS Data Pipeline and PieSync 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, PieSync provides the following key features:

• Sync any app
• Real-time and two syncing
• Custom mapping