ksqlDB

Enables real-time data transformations using familiar SQL syntax, as demonstrated in examples like CREATE STREAM and CREATE TABLE queries, reducing the need for custom code.

Supports incrementally updated views via persistent queries with push and pull modes, allowing low-latency analytics like in the hourly_metrics example for continuous monitoring.

Built directly on Apache Kafka, facilitating seamless creation of streams and tables over Kafka topics without additional integration layers, as highlighted in the overview.

Integrates with Kafka Connect for easy data source and sink connections, such as routing output to Elasticsearch with a simple SQL sink connector statement.