The release of Kafka 0.9, its commercial counterpart Confluent Platform 2.0, and new distro component MapR Streams, bring prominence and maturity to streaming data processing in the Hadoop ecosystem.

Events offer a Goldilocks-style approach for real-time APIs. Apache Kafka offers a scalable event streaming platform with which you can build applications around the powerful concept of events.

With its acquisition of Immerok, Confluent aims to expand data stream processing and further enable enterprise applications.

At QCon San Francisco 2016, Neha Narkhede presented “ETL is Dead; Long Live Streams”, and discussed the changing landscape of enterprise data processing.

Kafka is an open-source platform used by more than 80% of Fortune 100 companies to manage data streams ranging from machine sensors to stock prices and social media feeds.