| Apache Kafka | Apache Flume |
|---|---|
| Apache Kafka is a distributed data store or a data system. | Apache Flume is a distributed, available, and reliable system. |
| Apache Kafka is optimized for ingesting and processing streaming data in real-time. | Apache Flume can efficiently collect, aggregate and move a large amount of log data from many different sources to a centralized data store. |
| Apache Kafka is easy to scale. | Apache Flume is not scalable as Kafka. It is not easy to scale. |
| It is working as a pull model. | It is working as a push model. |
| It is a highly available, fault-tolerant, efficient and scalable messaging system. It also supports automatic recovery. | It is specially designed for Hadoop. In case of flume-agent failure, it is possible to lose events in the channel. |
| Apache Kafka runs as a cluster and easily handles the incoming high volume data streams in real-time. | Apache Flume is a tool to collect log data from distributed web servers. |
| Apache Kafka treats each topic partition as an ordered set of messages. | Apache Flume takes in streaming data from multiple sources for storage and analysis, which is used in Hadoop. |
