The industry’s leading unified data platform, the MapR Converged Data Platform is able to simultaneously do analytics and applications with speed, scale, and reliability. It converges all data into a data fabric that can store, manage, process, apply, and analyze as data happens.
MapR-XD is a highly-scalable converged storage platform for high-volume enterprise storage, in-place analytics of unstructured data, and archival and protection of critical data. MapR-XD bridges the gap between traditional and new-age applications, and serves as the foundation for your data fabric across edge, on-premises, and cloud. Read the Executive Perspective.
MapR Analytics and ML engines include all of the tools needed to conduct real-time analytics and machine learning at scale, backed by the industry's only platform that integrates files, tables, and streams.
MapR-DB is a high-performance NoSQL database for global data-intensive applications built into the MapR Converged Data Platform. It is a scalable multi-model database that brings together operational applications, analytical applications, real-time streaming, and other workloads to enable next-generation user experiences and business processes. Read the Executive Perspective.
MapR-ES is a global publish-subscribe event streaming system for big data. It is the first big data scale streaming system built into a converged data platform and the only big data streaming system to support infinite data persistence and global event replication reliably at IoT scale.
The MapR Control System (MCS) is a world-class management solution for administering the MapR Converged Data Platform and related cluster infrastructure through a simple, intuitive, and actionable interface. With built-in real-time insights and faster time-to-action, MCS lowers your OpEx and is a vital component in the DataOps movement.