AWS Data Pipeline vs WalkMe: 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; WalkMe: Add step-by-step walk-thru guidance to your website or application. WalkMe enables website owners and app developers to easily create multiple interactive on-screen Walk-Thru’s that help users to quickly and easily complete even the most complex tasks.
AWS Data Pipeline can be classified as a tool in the "Data Transfer" category, while WalkMe is grouped under "Tour Widget".
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, WalkMe provides the following key features:
- Using WalkMe's advanced Editor, you can create Walk-Thrus within minutes, without any technical knowledge, all by using a simple point-and-click interface.
- WalkMe supports all major browsers.
- Welcome Screen- Customize your welcome screen to greet your user to your Walk-Thru