CDAP vs Corral: What are the differences?
Developers describe CDAP as "Open source virtualization platform for Hadoop data and apps". Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements. On the other hand, Corral is detailed 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.
CDAP and Corral belong to "Big Data Tools" category of the tech stack.
CDAP and Corral are both open source tools. It seems that Corral with 611 GitHub stars and 16 forks on GitHub has more adoption than CDAP with 346 GitHub stars and 178 GitHub forks.