MapR extends convergence to IoT Edge

MapR Technologies, Inc., the provider of the first and only converged data platform, has launched MapR Edge, a small footprint edition of the MapR Converged Data Platform, the company said.

Addressing the need to capture, process, and analyze data generated by Internet-of-Things (IoT) devices close to the source, MapR Edge provides secure local processing, quick aggregation of insights on a global basis, and the ability push intelligence back to the edge for faster and more significant business impact.

The new MapR Edge is optimized for data collection, processing, streaming and analytics at the edge. MapR Edge integrates a globally distributed elastic data plane that not only supports distributed file processing but also strongly consistent geo-distributed database applications.

The ability to act locally, learn globally describes how IoT applications leverage local data from numerous sources in many locations but often require machine learning or deep learning models with global knowledge. These models must then be deployed back to the edge to enable real-time decisions based on local events.

Headquartered in San Jose, Calif., MapR provides the industry´s only Converged Data Platform that enables customers to harness the power of big data by combining analytics in real-time to operational applications to improve business outcomes.