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 …

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 …

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.

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 …

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 …

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.

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 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 …

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 …