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    <title>Apache Ignite - In-Memory MapReduce</title>
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        <section id="mapreduce" class="page-section">
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                <div class="col-sm-6 col-md-6 col-xs-12" style="padding-left:0; padding-right:0;">
                    <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>
                            </div>
                        </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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