MapR unveils in-Hadoop document database

The in-Hadoop document database will allow developers to quickly deliver scalable applications that also leverage continuous analytics on real-time data.

MapR Technologies, provider of the distribution for Apache Hadoop that integrates web-scale enterprise storage and real-time database capabilities,has announced the addition of native JSON support to MapR-DB, a NoSQL database at at Strata + Hadoop World.

The in-Hadoop document database will allow developers to quickly deliver scalable applications that also leverage continuous analytics on real-time data.

“MapR continues to build on the innovative data platform at the core of its Hadoop distribution,” said Nik Rouda, senior analyst, Enterprise Strategy Group. “The addition of a document database capability (JSON) neatly extends the powerful NoSQL MapR-DB to seamlessly cover more types of unstructured business data. This makes it faster and easier to build big data applications, without the burden of shuffling data around first,” he added.

Anil Gadre, senior vice president, product management, MapR Technologies said that, by integrating a NoSQL document database deep into its platform, developers can quickly build new applications which demand ultra-low latency and huge flexibility in supporting different types of data all in one cluster.

Apache HadoopHadoopMapR
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