MapR adds in-Hadoop document database
MapR Chief Marketing Officer Jack Norris says MapR-DB becomes the first in-Hadoop document database, allowing developers to quickly deliver scalable applications that also leverage continuous analytics on real-time data.
[Related: MapR 5.0 Hadoop supports real-time applications ]
"This is a significant step forward," Norris says. "This provides the ability to build scalable JSON apps, allowing developers to leverage the many different JSON sources that are rapidly expanding."
Norris notes the addition of an in-Hadoop document database to the distribution allows developers to benefit from the advantages of a document database combined with the scale, reliability and integrated analytics of enterprise-grade Hadoop and Spark. That, in turn, will allow them to improve a range of use cases, from personalizing online shopping experiences to reducing risk and preventing fraud in real-time, to improving manufacturing efficiencies and lowering costs.
[ Related: MapR adds self-service SQL Analytics ]
MapR-DB supports the Open JSON Application Interface (OJAI), a general purpose JSON access layer across databases, file systems and message streams. The new capabilities are designed to give developers the capability to accomplish the following:
"MapR continues to build on the innovative data platform at the core of its Hadoop distribution," Nik Rouda, senior analyst, Enterprise Strategy Group, said in a statement topday. "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."
Norris says a developer preview package of MapR-DB with native JSON support is available immediately. He says the new capabilities will be made generally available in the next quarter.