Real-time data processing is enabled by several technologies. Key among them are stream processing frameworks like Apache Kafka and Apache Flink, which facilitate continuous data flow. Additionally, in-memory databases such as Redis provide quick access to data. The use of cloud computing also allows for scalable and efficient processing. Moreover, edge computing helps minimize latency by processing data closer to its source, enhancing the overall performance of real-time applications.