Apache Flume vs Apache Flink: What are the differences?
Apache Flume: A service for collecting, aggregating, and moving large amounts of log data. It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application; Apache Flink: Fast and reliable large-scale data processing engine. Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Apache Flume and Apache Flink are primarily classified as "Log Management" and "Big Data" tools respectively.
Apache Flink is an open source tool with 9.75K GitHub stars and 5.22K GitHub forks. Here's a link to Apache Flink's open source repository on GitHub.