Apache Flink is a stream-processing framework used for processing big data. The software is developed by the Apache Software Foundation and is free and open-source. The core of Apache Flink is written in Java and Scala as a distributed streaming data-flow engine. Data-flows executed by Flink programs are pipe-lined and run parallel to maximize efficiency.
What is Apache Flink used for?
The open source stream-processing framework Apache Flink is used for big data purposes where stateful computations are ran through data streams (data-flows).
Is Apache Flink better than Apache Spark?
Apache Spark is used in production across multiple industries and is a proven software when working with big data. Whereas Flink is a newer technology that has yet to see that level of adoption. That said though, Apache Flink provides streaming capabilities that are far better than those found in Apache Spark. As Apache Flink provides native support for streaming, when Apache Spark handles streams in micro-batches.