MapR claims JSON IoT development breakthrough

Cloud databaseEnterprise software vendor MapR has unveiled plans to slash the workload of IoT developers and administrators by cutting the complexity of managing its NoSQL databases.

The key to this simplification, it says, is in more creative use of the JavaScript Object Notification (JSON) format, which it claims has the potential to make significant improvements in both database scalability and the analysis of the information they contain.

“We’re seeing big changes in the way applications are developed and how data is consumed,” said MapR’s chief marketing officer Jack Norris, “the underlying data format is the key to making information sharing easier.”

Bringing out the advantages of JSON makes administration easier, according to Norris, because users can make changes easily in a database built on documents. This in turn helps developers when they are planning applications, because it is easier to create a user friendly system. Tweaking JSON will benefit system builders in their own work too, Norris argued, since a document database can now be given enterprise grade scalability, reliability and integrated analytics.

The organisational improvements include the ability to personalise and deliver better online shopping experiences, reduce risk and prevent fraud in real-time, improve manufacturing efficiencies and cut costs. Savings will come from preventing cluster sprawl, eliminating data silos and lowering the cost of ownership of data management, claims MapR. Meanwhile it has promised a productivity dividend from continuous analytics of real-time data.

The MapR-DB supports the Open JSON Application Interface (OJAITM), 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, claims MapR.

The addition of a document database capacity extends the NoSQL MapR-DB to cover more types of unstructured business data, said one analyst. This could make it faster and easier to build big data applications, without the burden of shuffling data around first.

“MapR continues to build on the innovative data platform at the core of its Hadoop distribution,” said Nik Rouda, senior analyst at the Enterprise Strategy Group.