Apache Flume vs Kafka: What are the differences?
Developers describe Apache Flume as "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. On the other hand, Kafka is detailed as "Distributed, fault tolerant, high throughput pub-sub messaging system". Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Apache Flume belongs to "Log Management" category of the tech stack, while Kafka can be primarily classified under "Message Queue".
Kafka is an open source tool with 13.1K GitHub stars and 6.99K GitHub forks. Here's a link to Kafka's open source repository on GitHub.