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AWS Data Pipeline vs Resilio: What are the differences?
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.
What is Resilio? Lets you transfer files directly from device to device. It offers the industry leading data synchronization tool. Trusted by millions of users and thousands of companies across the globe. Resilient, fast and scalable p2p file sync software for enterprises and individuals.
AWS Data Pipeline and Resilio can be primarily classified as "Data Transfer" tools.
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, Resilio provides the following key features:
- Audit Trail
- Backup and Recovery
- Conflict Detection
Pros of AWS Data Pipeline
- Easy to create DAG and execute it1