Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster …

Apache Flink's dataflow programming model provides event-at-a-time processing on both finite and infinite datasets. At a basic level, Flink programs consist of streams and transformations.

Flink is a high throughput, low latency stream processing engine. A Flink application consists of an arbitrary complex acyclic dataflow graph, composed of streams and transformations. Data is …

Mar 24, 2025 · In the 2.0 release, Flink introduces several innovative features that address key challenges in real-time data processing and align with the growing demands of modern applications, …

Apache Flink, Flink, and the Flink logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.

Dec 4, 2025 · Flink 2.2.0 further enriches AI capabilities, enhances materialized tables and the Connector framework, and improves batch processing and PyFlink support. This release brings …

This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately …

Apache Flink is a framework for stateful computations over unbounded and bounded data streams. Flink provides multiple APIs at different levels of abstraction and offers dedicated libraries for common use …

Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Here, we explain important aspects of Flink’s architecture.

Apache Flink puts a strong focus on the operational aspects of stream processing. Here, we explain Flink’s failure recovery mechanism and present its features to manage and supervise running …