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<title>Apache Ignite - In-Memory MapReduce</title>
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<h2 class="first">In-Memory MapReduce</h2>
<p>
Apache Ignite comes with in-memory implementation of Hadoop MapReduce APIs which provides
significant acceleration over the native Hadoop MapReduce implementation. Ignite MapReduce
performs much better than Hadoop due to push-based resource allocation as well as in-process
collocation of computations with data.
</p>
<p>
Additionally, since <a href="igfs.html">Ignite File System (IGFS)</a> does not need a
<i>Name Node</i>, when used with <i>IGFS</i>, Ignite MapReduce jobs go directly to the
IGFS data nodes in a single <span style="white-space: nowrap">round-trip</span>.
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<div class="page-heading">Native Hadoop MapReduce</div>
<p>
See <a href="http://apacheignite-fs.readme.io/docs/map-reduce" target="docs">MapReduce documentation</a>
to plug Ignite MapReduce natively into Hadoop deployments.
</p>
</section>
<section id="key-features" class="page-section">
<h2>Ignite MapReduce Features</h2>
<table class="formatted" name="Ignite MapReduce Features">
<thead>
<tr>
<th width="35%" class="left">Feature</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="left">Native Hadoop MapReduce</td>
<td>
<p>
Ignite MapReduce is an implementation of Hadoop MapReduce APIs and can be
natively plugged into existing Hadoop installations to provide a
significant performance boost.
</p>
<div class="page-links">
<a href="http://apacheignite-fs.readme.io/docs/map-reduce" target="docs">Docs for this Feature <i class="fa fa-angle-double-right"></i></a>
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</td>
</tr>
<tr>
<td class="left">Hadoop Accelerator</td>
<td>
<p>
Ignite comes with Hadoop Accelerator distribution which provides both,
Ignite File System (IGFS) and Ignite MapReduce, in one installation which
can be easily plugged into existing Hadoop installations.
</p>
<div class="page-links">
<a href="http://apacheignite-fs.readme.io/docs/hadoop-accelerator" target="docs">Docs for this Feature <i class="fa fa-angle-double-right"></i></a>
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