Kafka and JMS both are messaging system. Java message service is an api which are provided by Java. It is used for implementing messaging system in your application. JMS supports queue and publisher /subscriber(topic) messaging system . With queues, when first consumer consumes a message, message gets deleted from the queue and others cannot take it anymore. With topics, multiple consumers receive each message but it is much harder to scale.Kafka is a generalization of these two concepts - it allows scaling between members of the same consumer group, but it also allows broadcasting the same message between many different ... Read More

Kafka and Flume both are used for real time event processing system. They both are developed by Apache. Kafka is a publish-subscribe model messaging system. It can be used to communicate between publisher and subscriber using topic. One of the best features of Kafka is, it is highly available and resilient to node failures and supports automatic recovery.On the other hand, flume is mainly designed for Hadoop and it is a part of Hadoop ecosystem. It is used to collect data from different sources and transfer data to the centralized data store. Flume was mainly designed in order to collect ... Read More

Apache Kafka and Kinesis both software tool is to processing data stream in real time. Apache kafka is developed by linked-in and it is written in Scala and java. Kinesis is developed and managed by Amazon. It can be only used as a services.According to the amazon documentation −Amazon Kinesis Data Streams enables you to build custom applications that process or analyze streaming data for specialized needs. You can continuously add various types of data such as clickstreams, application logs, and social media to an Amazon Kinesis data stream from hundreds of thousands of sources. Within seconds, the data will ... Read More