KSQL: The Open Source SQL Streaming Engine for Apache Kafka

The rapidly expanding world of stream processing can be daunting, with new concepts such as various types of time semantics, windowed aggregates, changelogs, and programming frameworks to master.

KSQL is an open-source, Apache 2.0 licensed streaming SQL engine on top of Apache Kafka which aims to simplify all this and make stream processing available to everyone. Even though it is simple to use, KSQL is built for mission-critical and scalable production deployments (using Kafka Streams under the hood).

Benefits of using KSQL include: no coding required; no additional analytics cluster needed; streams and tables as first-class constructs; access to the rich Kafka ecosystem. This session introduces the concepts and architecture of KSQL. Use cases such as streaming ETL, real-time stream monitoring, and anomaly detection are discussed. A live demo shows how to set up and use KSQL quickly and easily on top of your Kafka ecosystem.

Key takeaways:

• KSQL includes access to the rich Apache Kafka ecosystem and is suitable for various use cases, including streaming ETL, real-time stream monitoring, and anomaly detection.
• KSQL allows us to utilize stream processing without coding and without additional analytics cluster.

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