In Pictures: 9 open source Big Data technologies to watch

With more and more companies storing more and more data and hoping to leverage it for actionable insights, Big Data is making a big splash these days. Open source technology is at the core of most Big Data initiatives. Here are nine key open source Big Data technologies to keep an eye on.

Apache HBase

Written in Java and modeled after Google's BigTable, Apache HBase is an open source, non-relational columnar distributed database designed to run on top of Hadoop Distributed Filesystem (HDFS). It provides fault-tolerant storage and quick access to large quantities of sparse data. HBase is one of a multitude of NoSQL data stores that have become available in the past several years. In 2010, Facebook adopted HBase to serve its messaging platform. It is available under the Apache License 2.0.

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