The new release of ksqlDB, formerly known as KSQL, introduces significant enhancements to stream processing by integrating traditional database-like functionalities, such as pull queries and connector management, with the capabilities of Apache Kafka® streams. These pull queries allow users to perform point-in-time lookups on materialized tables, complementing the existing continuous "push queries" that provide real-time data streams. The integration simplifies the architecture needed for event streaming applications, reducing reliance on multiple systems by consolidating processing and querying capabilities within ksqlDB. This evolution aims to make event streaming as straightforward as building traditional CRUD applications by offering an interactive and unified experience for developing and managing event-driven solutions. While ksqlDB does not aim to replace primary storage systems like Postgres or analytical stores like Elasticsearch, it excels in providing on-the-fly materialized views and seamless integration with other data stores through its enhanced connector management.