flink — Apache Flink is an open-source stream processing framework providing powerful capabilities for both data streaming and batch processing.

Apache Flink is an open-source stream processing framework providing powerful capabilities for both data streaming and batch processing.

About this project

Apache Flink is a streaming-first runtime designed for high throughput and low event latency. It supports both batch and stream processing programs through fluent Java APIs. Key capabilities include: - Event time and out-of-order processing based on the Dataflow Model. - Flexible windowing options including time, count, and session windows. - Fault-tolerance with exactly-once processing guarantees. - Natural back-pressure handling in streaming programs. - Specialized libraries for Graph processing, Machine Learning, and Complex Event Processing (CEP). - Custom memory management for efficient in-memory and out-of-core data processing. - Integration with the Apache Hadoop ecosystem, including YARN, HDFS, and HBase, with compatibility layers for MapReduce. The project provides a wide array of externalized connectors for various data sources and sinks, such as Kafka, Elasticsearch, MongoDB, Cassandra, and AWS.