Gretel vs AWS Data Pipeline: What are the differences?

What is Gretel? Synthesize, transform and share large datasets easily. It gives you the first and only APIs to enable you to balance, anonymize, and share your data. With privacy guarantees.

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.

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

Some of the features offered by Gretel are:

• Improve limited datasets with synthetic data
• Create synthetic data with privacy guarantees
• Power testing environments with anonymized data

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