by Angela Guess
A recent article out of the company reports, “MapR Technologies, Inc., provider of the industry’s only converged data platform, announced today at Spark Summit a new enterprise-grade Apache Spark distribution. This new distribution includes the complete Spark stack engineered to support advanced analytic applications, along with patented innovations in the MapR Platform, plus key open source projects that complement Spark. This new and unique Spark-focused offering redefines how companies leverage their big data. From the deployment of real-time applications to the evolution of how those applications expand within an organization, the Spark-focused distribution for MapR can serve as a starting point to leverage the power of Spark as an essential component in a modern data architecture.”
The article continues, “The new distribution enables all advanced analytics including batch processing, machine learning, procedural SQL, and graph computation. Because Spark runs seamlessly on MapR it benefits from the platform’s patented enterprise-grade features such as web-scale storage, high availability, mirroring, snapshots, NFS, integrated security, global namespace, etc. This native integration makes it the only reliable and production-ready platform for Spark workloads on-premise and in the cloud. Product extensions of the distribution could include real-time streaming and operational analytic capabilities, with MapR-Streams, MapR-DB, and Hadoop as add-ons.”
Photo credit: MapR