1 year ago

Streaming data is everywhere, and today’s developer needs to learn how to build systems and applications that can ingest, process and act on data that’s continuously generated in real time. In the 12 years since this event-streaming platform made open source, developers have used Kafka to build applications that transformed their respective categories.

Stream processing means ingesting and processing streaming data, all in real time.

As a database purpose-built for stream processing, https://ksqldb.io/ allows developers to build pipelines that transform data as it’s ingested, and push the resulting streaming data into new topics after processing.

On the other hand, Kafka Streams is a client library that simplifies the way developers write client-side applications that stream data to and consume data from Kafka.