Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/1736#discussion_r54428408
--- Diff: README.md ---
@@ -1,10 +1,55 @@
# Apache Flink
-Apache Flink is an open source platform for scalable batch and stream data
processing. Flink supports batch and streaming analytics,
-in one system. Analytical programs can be written in concise and elegant
APIs in Java and Scala.
+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/](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) and in the DataSet (batch)
API.
+
+* Custom memory management to 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.
--- End diff --
Some of the items end with a `.` and others not. Maybe we could harmonise
them.
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