Apache Kafka：它是一个用Java和 Scala 编写的开源流处理软件平台。它由 LinkedIn 制作，并提供给 Apache 软件基金会。 Apache Kafka 旨在提供一个高吞吐量、统一、低延迟的平台来处理实时数据馈送。 Kafka 通常使用基于 TCP 的协议来优化效率。它非常快，每秒执行 200 万次写入。
它还保证数据丢失百分比为零。
Apache Kafka 通常用于实时分析、将数据摄取到 Hadoop 中并进行触发、错误恢复、网站活动跟踪。
Flume： Apache Flume 是一种可靠、分布式且可用的软件，用于高效聚合、收集和移动大量日志数据。它具有基于流数据流的灵活而简单的架构。它是用Java编写的。它有自己的查询处理引擎，可以在将每批新数据移动到预期接收器之前对其进行转换。它具有灵活的设计。
下面是 Apache Kafka 和 Apache Flume 之间的差异表：
| Apache Kafka | Apache Flume |
|---|---|
| Apache Kafka is a distributed data system. | Apache Flume is a available, reliable, and distributed system. |
| It is optimized for ingesting and processing streaming data in real-time. | It is efficiently collecting, aggregating and moving large amounts of log data from many different sources to a centralized data store. |
| It is basically working as a pull model. | It is basically working as a push model . |
| It is easy to scale. | It is not scalable in comparison with Kafka. |
| An fault-tolerant, efficient and scalable messaging system. | It is specially designed for Hadoop. |
| It supports automatic recovery if resilient to node failure. | You will lose events in the channel in case of flume-agent failure. |
| Kafka runs as a cluster which handles the incoming high volume data streams in the real time. | Flume is a tool to collect log data from distributed web servers. |
| Kafka will treat each topic partition as an ordered set of messages. | Flume can take in streaming data from the multiple sources for storage and analysis which use in Hadoop. |