Corral vs Singer: What are the differences?
Developers describe Corral as "A serverless MapReduce framework written for AWS Lambda". Corral is a MapReduce framework designed to be deployed to serverless platforms, like AWS Lambda. It presents a lightweight alternative to Hadoop MapReduce. On the other hand, Singer is detailed as "Simple, Composable, Open Source ETL". Singer powers data extraction and consolidation for all of your organization’s tools: advertising platforms, web analytics, payment processors, email service providers, marketing automation, databases, and more.
Corral and Singer belong to "Big Data Tools" category of the tech stack.
Corral and Singer are both open source tools. Corral with 611 GitHub stars and 16 forks on GitHub appears to be more popular than Singer with 178 GitHub stars and 40 GitHub forks.