The text discusses ksqlDB, a stream processing engine that can be used for building data pipelines and applications. It covers the basics of ksqlDB, including its ability to process data from Kafka topics, create streams and tables, and perform aggregations. The article also explores how ksqlDB can be used with connectors to read data from external sources such as Twitter, and how it can push data directly out to datastores like relational databases and graph databases like Neo4j. Additionally, the text touches on the concept of stateful aggregation and how ksqlDB can provide real-time access to aggregate values. The article concludes by highlighting the value of using ksqlDB for building stream processing pipelines and applications that require real-time data processing and analytics.