AWS Data Pipeline vs Blend 365: 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, Blend 365 is detailed as "Efficient and Accurate Data Management and Migration Solutions". Data is now more important than the software application that stores it and Blend 365 focuses on just that. It empowers Microsoft Dynamics 365 users with quick, efficient and accurate data management and migration solutions.

AWS Data Pipeline and Blend 365 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, Blend 365 provides the following key features:

• Data Validation
• Easy Workflow
• Data Transformation