The technology that allows for real-time data processing and analytics is often powered by stream processing frameworks like Apache Kafka and Apache Flink. These frameworks enable the continuous processing of data as it arrives, allowing organizations to gain timely insights and respond quickly to changing conditions or events. Real-time analytics is critical for applications such as fraud detection, online recommendation systems, and monitoring of operational metrics. By harnessing stream processing technologies, businesses can enhance decision-making, improve customer experiences, and maintain a competitive advantage.