The technology crucial for real-time data analytics is stream processing. This allows organizations to analyze and act on data as it flows in, enabling timely insights and decision-making. Stream processing frameworks, such as Apache Kafka or A Storm, facilitate the handling of large volumes of data in motion, supporting use cases like fraud detection, customer engagement, and operational monitoring in real-time.