MapR Unveils Converged Data Platform Leveraging Streaming IoT Data

MapR Technologies has introduced a new converged data platform along with MapR Streams, a global event streaming system that will be generally available in early 2016.

The MapR Converged Data Platform integrates file, database, stream processing, and analytics to accelerate data-driven applications and address emerging IoT needs. 

The integration of MapR Streams into a converged platform is targeted at helping organizations – including advertisers providing relevant real-time offers, healthcare providers improving personalized treatment, retailers optimizing inventory, and telecom carriers dynamically adjusting mobile service areas – to continuously collect, analyze and act on streaming data.

“Increasingly companies are looking at how they can move beyond batch to a real time paradigm where instead of reporting what happens they are actually incorporating analytics into these streams and impacting business as it happens,” said Jack Norris, chief marketing officer, MapR. “That is what is driving this technology advancement.”

In addition, companies want to combine streaming data, with information about deep historical patterns. “This convergence is a big difference from what is available with other systems,” said Norris.

The platform natively integrates data-in-motion and data-at-rest in one converged data platform. As a result, it enables developers to create new applications that reduce data duplication and movement, lower the cost of integration and maintenance associated with multiple platforms, and accelerate business results.

The new platform is a publish-and-subscribe environment. “This is built to handle billions of messages a second and they can be organized by logical topics, allowing consumers to subscribe to a particular topic and they can receive the update as soon as it arrives, and this can be coordinated across data centers and geographies throughout the world. This really addresses the evolving flows that we are seeing that are being driven by the evolving Internet of Things and these new applications,” said Norris.

The platform supports existing open source projects like Spark Streaming, Apache Storm, Apache Flink, and Apache Apex. In addition, MapR works closely with technology partners, such as dataArtisans, Databricks, DataTorrent, Streamsets, and Syncsort, to provide customers with the flexibility to choose the components they want in their real-time analytics data platforms.

For more information, go to