Optimized for edge data collection, processing, and streaming analytics.
Providing an end-to-end platform from edge to cloud

MapR Technologies announced MapR Edge, a smaller edition of the MapR Converged Data Platform.

MapR Edge collects, processes, and analyzes data generated by IoT devices closer to the source. It also features secure local processing, rapid global insight gathering, and enhanced edge intelligence capabilities, enabling faster and more critical business capabilities.

MapR Edge is optimized for data collection, processing, streaming, and analytics at the edge. By integrating a globally distributed, resilient data plane, it supports consistent, distributed file processing and geographically distributed data-driven applications.



“MapR customers are at the forefront of big data usage and want to stay ahead of the competition,” said Ted Dunning, chief application architect at MapR Technologies. “Real-time operations at the edge present unique challenges and opportunities for enterprises to achieve digital transformation. “MapR customers want to work locally but gain global insights, and MapR Edge helps our customers do business more efficiently, reliably, and securely, with greater business impact,” he said.

MapR Edge collects distributed data, recognizes bandwidth, and provides a global view of all distributed clusters in a single namespace for IoT/edge application implementations. It also combines operational decision-making with real-time data analysis at the edge.

Existing solutions aren't designed to seamlessly handle large-scale, distributed global processing. MapR Edge leverages the advanced global distribution and real-time synchronization capabilities of the MapR Converged Data Platform to provide an end-to-end platform from edge to cloud. Proven mission-critical capabilities bring compute power closer to the source of data generation, efficiently aggregating it across one or more centralized clusters to support large-scale analytics and processing across all data.