The technology often used to handle real-time analytics includes stream processing platforms and data warehouses that can manage and analyze data flows instantaneously. Tools such as Apache Kafka, Apache Flink, and Google Cloud Dataflow enable organizations to process data in motion, providing immediate insights that drive decision-making. Real-time analytics is critical for applications requiring immediate feedback, such as fraud detection, monitoring social media trends, or optimizing supply chain processes, allowing businesses to respond swiftly to changing conditions.