Title:    Apache Crunch
Subtitle: Simple and Efficient MapReduce Pipelines
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> The *Apache Crunch* Java library provides a framework for writing, testing,
> and running MapReduce pipelines. Its goal is to make pipelines that are
> composed of many user-defined functions simple to write, easy to test, and
> efficient to run.

> **Apache Crunch moved to the Apache Attic in July of 2020 and is no longer
  actively developed.**

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Running on top of [Hadoop](http://hadoop.apache.org/) MapReduce and [Apache Spark](http://spark.incubator.apache.org/), the Apache
Crunch<span>&trade;</span> library is a simple Java API for tasks like joining and data aggregation
that are tedious to implement on plain MapReduce. The APIs are especially useful when
processing data that does not fit naturally into relational model, such as time series,
serialized object formats like protocol buffers or Avro records, and HBase rows and columns.
For Scala users, there is the Scrunch API, which is built on top of the Java APIs and
includes a REPL (read-eval-print loop) for creating MapReduce pipelines.