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Cloudera Launches Kudu, New Hadoop Storage for Fast Analytics on Fast Data

7/10/2015 by

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Cloudera, a leader in enterprise analytic data management powered by Apache Hadoop™, announced the public beta release of Kudu, a new columnar store for Hadoop that enables the powerful combination of fast analytics on fast data. Complementing the existing Hadoop storage options, HDFS and Apache HBase, Kudu is the first native Hadoop storage engine that supports both low-latency random access and high-throughput analytics, dramatically simplifying Hadoop architectures for increasingly common real-time use cases. A public beta of Kudu is immediately available under the Apache open source license, and will be transitioned to the Apache Software Foundation incubator in the future.

Until now, developers have been forced to make a choice between fast analytics with HDFS or efficient updates with HBase. Especially with the rise of streaming data, there has been a growing demand for combining the two features to build real-time analytic applications on changing data – leading developers to create complex architectures with the storage options available. Kudu complements the capabilities of HDFS and HBase, providing simultaneous fast inserts and updates and efficient columnar scans. This powerful combination enables real-time analytic workloads with a single storage layer, eliminating the need for complex architectures.

This article has been extracted from http://insidebigdata.com, please click on this link to read the article in full http://insidebigdata.com/2015/10/06/cloudera-launches-kudu-new-hadoop-storage-for-fast-analytics-on-fast-data/

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