Apache Flink® is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications.

Introduction to Flink


Latest Blog Posts

Continuous Queries on Dynamic Tables

Flink's relational APIs, the Table API and SQL, are unified APIs for stream and batch processing, meaning that a query produces the same result when being evaluated on streaming or static data.

In this blog post we discuss the future of these APIs and introduce the concept of Dynamic Tables. Dynamic tables will significantly expand the scope of the Table API and SQL on streams and enable many more advanced use cases. We discuss how streams and dynamic tables relate to each other and explain the semantics of continuously evaluating queries on dynamic tables.

From Streams to Tables and Back Again: An Update on Flink's Table & SQL API

Broadening the user base and unifying batch & streaming with relational APIs

Apache Flink 1.1.5 Released

The Apache Flink community released the next bugfix version of the Apache Flink 1.1 series.

Announcing Apache Flink 1.2.0

The Apache Flink community is excited to announce the 1.2.0 release.

Apache Flink 1.1.4 Released

The Apache Flink community released the next bugfix version of the Apache Flink 1.1 series.