The MapR Converged Data Platform integrates Hadoop, Spark, and Apache Drill with real-time database capabilities, global event streaming, and scalable enterprise storage to power a new generation of big data applications. The MapR Platform delivers enterprise grade security, reliability, and real-time performance while dramatically lowering both hardware and operational costs of its users’ most important applications and data. MapR supports dozens of open source projects and is committed to using industry-standard APIs to provide a frictionless method of developing and deploying exciting new applications that can meet the most stringent production runtime requirements. It is composed of Enterprise-Grade Platform Services, Open Source Engines & Tools and Commercial Engines & Applications. MapR Platform Services are the core data handling capabilities of the MapR Converged Data Platform. Modules include MapR-FS, MapR-DB, and MapR Streams. Its enterprise- friendly design provides a familiar set of file and data management services, including a global namespace, high availability, data protection, self-healing clusters, access control, real-time performance, secure multi-tenancy, and management and monitoring. Moreover, MapR packages a broad set of Apache open source ecosystem projects that enable big data applications. The goal is to provide an open platform that lets users choose the right tool for the job. MapR tests and integrates open source ecosystem projects such as Hive, Pig, Apache HBase and Mahout, among others. The platform is also based on well-known, open APIs and interfaces which enables commercial software vendors such as SAP, SAS, HP, and Cisco to easily deploy large scale applications onto the MapR Platform.
