October 23, 2012 – MapR has retooled its big data platform with automated architecture and data recovery meant to bring enterprise reassurance to Hadoop and NoSQL work.
The new offering, MapR M7, doubles information throughput speeds, cuts manual splits for tables and compaction, and features an integrated recovery and snapshot function, according to the product announcement. It builds upon Hadoop distribution on the open source non-relational database HBase for a more integrated platform. HBase scalability enables creation of more than 1 trillion tables and vastly increases the number of column families and row and cell sizes. M7 is also compatible with Apache HBase.
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