Apache Flink
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Apache Flink, introduced in 2014, is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. Designed for high performance, scalability, and fault tolerance, Flink provides stateful computations over data streams and can run on all common cluster environments. It supports event time processing and windowing, allowing for complex event-driven applications. Flink's powerful APIs for Java, Scala, and Python make it accessible for a wide range of developers and data engineers. It integrates seamlessly with big data ecosystems, offering connectors to storage systems such as HDFS, Kafka, and Elasticsearch. Flink is widely used for real-time analytics, event-driven applications, and anomaly detection, serving as a core technology for companies requiring real-time processing capabilities. More information can be found at https://flink.apache.org/.