Apache Flink

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Repo Description

Apache Flink

Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.

Learn more about Flink at http://flink.apache.org/

Features

• A streaming-first runtime that supports both batch processing and data streaming programs
• Elegant and fluent APIs in Java and Scala
• A runtime that supports very high throughput and low event latency at the same time
• Support for event time and out-of-order processing in the DataStream API, based on the Dataflow Model
• Flexible windowing (time, count, sessions, custom triggers) accross different time semantics (event time, processing time)
• Fault-tolerance with exactly-once processing guarantees
• Natural back-pressure in streaming programs
• Libraries for Graph processing (batch), Machine Learning (batch), and Complex Event Processing (streaming)
• Built-in support for iterative programs (BSP) in the DataSet (batch) API
• Custom memory management for efficient and robust switching between in-memory and out-of-core data processing algorithms
• Compatibility layers for Apache Hadoop MapReduce and Apache Storm
• Integration with YARN, HDFS, HBase, and other components of the Apache Hadoop ecosystem

Repo Info
Github Repo URL https://github.com/apache/flink
Github account name apache
Repo name flink