The text explores the evolution of data analytics architectures, comparing state orientation with event orientation, and highlights the integration of both paradigms in modern systems. It delves into the historical context of human evolution to draw parallels with technological advancements, emphasizing the transition from linear to branching models in both fields. The piece discusses the technical implementations of state and event orientations, noting the complexities introduced when both are combined in modern Internet of Things (IoT) and big data platforms. The article introduces ksqlDB, a database for event streaming developed by Confluent, which combines real-time querying with event streaming capabilities, offering advanced features like high performance and fault tolerance. It illustrates how ksqlDB can be used to manage sensor data in IoT applications, allowing both traditional pull queries and real-time event subscriptions. The text concludes by positioning ksqlDB as a significant step in the technological evolution of data systems, questioning whether it serves as a bridge between big data and fast data systems.