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MapR Introduces First In-Hadoop Document Database

Downloadable developer preview for native JSON support now available for building scalable, real-time applications

MapR Technologies announced at Strata + Hadoop World the addition of native JSON support to MapR-DB, the top-ranked NoSQL database. The first in-Hadoop document database will allow developers to quickly deliver scalable applications that also leverage continuous analytics on real-time data.

With these major enhancements, developers benefit from the advantages of a document database combined with the scale, reliability and integrated analytics of enterprise-grade Hadoop and Spark. These capabilities will enhance an organization’s ability to improve a range of use cases — from personalizing and delivering the best online shopping experience, to reducing risk and preventing fraud in real-time, to improving manufacturing efficiencies and lowering costs. To help developers experiment and experience MapR-DB, a developer preview with sample code is available for download.

The MapR Distribution including Hadoop is uniquely architected to serve as a single platform for running analytics and operational applications. MapR-DB enables continuous analytics on real-time data, while reducing cluster sprawl, eliminating data silos, and lowering the TCO of data management. The native JSON support in MapR-DB also enables faster time-to-value by letting developers quickly stand up more business applications on more data types and sources. MapR-DB supports the Open JSON Application Interface (OJAI), which is designed to be a general purpose JSON access layer across databases, file systems, and message streams, enabling a flexible and unified interface to work with big 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.”

“MapR enables enterprise developers to create new value-added applications which they have only dreamed about so far,” said Anil Gadre, senior vice president, product management, MapR Technologies. “By deeply integrating a NoSQL document database deep into our 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.”

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