AWS Data Pipeline vs Kairos API: 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; Kairos API: Kairos Human Analytics API. Commercial-grade emotion analysis, face detection and recognition engine provided as a public API Kairos takes the complexity out of facial recognition and emotion analysis so you can focus on building a great product..
AWS Data Pipeline can be classified as a tool in the "Data Transfer" category, while Kairos API is grouped under "Facial Recognition".
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, Kairos API provides the following key features:
- Detect faces and face features within images
- Match faces against galleries of previously enrolled faces
- Analyze emotion of faces in still images and video