Kinesis
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Kafka
Apache Kafka, a pub/sub messaging system, is a stream-processing software platform. It was developed by LinkedIn in early 2011 and donated to the Apache Software Foundation.Java and Scala languages have been used to develop Kafka. The project aims to hand over a durable, fast, scalable, and fault-tolerant publish-subscribe messaging system for handling real-time data feeds. Its storage layer is essentially making it highly valuable for enterprise infrastructures to process streaming data because it is a massively scalable public / subscribe message queue. Kafka can also connect to external systems to import and export data via Kafka Connect and hand over Kafka Streams, a Java stream processing library.
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