MongoDB launches 3.4 with firm aim at the enterprise

Picture credit: "MongoDB", by Andreas Kollegger, used under CC BY 2.0 / Modified from original

NoSQL database provider MongoDB has announced the launch of its 3.4 product, promising greater analytics capabilities and additional data models.

Among the new features include multi-model functionality, native graph analytics, as well as a new SQL interface. The company hopes the new release will help it be placed ‘at the centre of enterprises’ digital transformation initiatives’, according to the press material, citing the Internet of Things (IoT) and artificial intelligence as use cases which require deeper analytical and operational requirements.

Elsewhere, the launch of 3.4 offers a variety of options to simplify application deployments to multiple data centres, from ‘zones’, claimed as the industry’s first fully elastic database partitioning capability designed for multi-region deployments, as well as faster elastic operations which aim to reduce the time balancing data across distributed clusters.

“Developers want to access and store their data in the simplest way possible,” said Eliot Horowitz, MongoDB CTO and co-founder in a statement. “We are continuing to add new capabilities to our query language – like graph and faceted search operators – so developers can use MongoDB for applications that previously required multiple technologies, thereby consolidating their technology footprint.”

“Leaders of nearly every business are under enormous pressure to disrupt, or be disrupted, by the advent of the digital enterprise,” added Dev Ittycheria, MongoDB president and CEO. “Organisations that know how to leverage next-generation software and data technologies to transform their businesses have an intrinsic competitive advantage.”

As is with the way of these things, MongoDB rolled out a number of customers who have tested the new service. Among them include Chinese search engine Baidu, pollsters YouGov, who say they have been “passionate” users of MongoDB since 2010, and real estate portal Homes.com.

 

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