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Apache Flink is an open-source, distributed stream processing framework that enables stateful computations over both unbounded (streaming) and bounded (batch) data sets. It is designed to run in diverse cluster environments, execute computations at in-memory speeds and at any scale, while delivering strong exactly-once guarantees for state consistency.
Features
- Streaming-first engine that natively supports both real-time stream processing and batch processing workloads
- Elegant, fluent APIs in Java (including DataStream API), Java/Scala/Python/SQL support via Table and SQL APIs
- Advanced event-time semantics with out-of-order processing and flexible windowing (time, count, session, custom triggers)
- Fault-tolerance through exactly-once state consistency via periodic checkpoints, savepoints, and natural back-pressure mechanisms
- High performance with low latency, high throughput, and a custom memory manager for efficient switching between in-memory and out-of-core processing
- Rich ecosystem including libraries for graph processing, machine learning, and complex event processing, plus connectors for Hadoop, Kafka, HDFS, and more
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Apache License V2.0Follow Apache Flink
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