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A new addition to the open source Apache Hadoop ecosystem, Apache Kudu
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<h3>Streamlined Architecture</h3>
<p>Kudu provides a combination of fast inserts/updates and efficient columnar scans to enable multiple real-time analytic workloads across a single storage layer. As a new complement to HDFS and Apache HBase, Kudu gives architects the flexibility to address a wider variety of use cases without exotic workarounds.</p>
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<h3>Faster Analytics</h3>
<p>Kudu is specifically designed for use cases that require fast analytics on fast (rapidly changing) data. Engineered to take advantage of next-generation hardware and in-memory processing, Kudu lowers query latency significantly for Apache Impala (incubating) and Apache Spark (initially, with other execution engines to come).</p>
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<h3>Open for Contributions</h3>
<p>Founded by long-time contributors to the Hadoop ecosystem, Apache Kudu is a top-level <a href="https://www.apache.org/">Apache Software Foundation</a> project released under the <a href="//www.apache.org/licenses/LICENSE-2.0">Apache 2 license</a> and values community participation as an important ingredient in its long-term success. We appreciate all community contributions to date, and are looking forward to seeing more!</p>
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