Synth vs AWS Data Pipeline: What are the differences?

What is Synth? Realistic, synthetic test data for your app. 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..

What is 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.

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

Some of the features offered by Synth are:

• Powered by AI
• Safe by design
• Developers first

On the other hand, AWS Data Pipeline provides the following key features:

• 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