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 cost of your 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.

The MapR Converged Data Platform solves the crisis of complexity that results from continually deploying workload-specific data silos. Within a single platform on a single codebase, it converges the key technologies that make up a modern data architecture, including a distributed file system, a multi-model NoSQL database, a publish/subscribe event streaming engine, ANSI SQL, and a broad set of open source data management and analytics technologies.

The MapR Converged Data Platform delivers speed, scale, and reliability, driving both operational and analytical workloads in a single platform. It is architected with many performance optimizations to get the most out of your hardware. It efficiently scales horizontally (“scale out”) on commodity hardware to cost-effectively expand or contract your computing power as your load changes, even to exabyte levels. It provides mission-critical high availability (HA), disaster recovery (DR), and data recovery features to maximize uptime and reduce risk of data loss.

Components

Enterprise-Grade Platform Services

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.

Open Source Engines & Tools

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 you 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. MapR is the only Hadoop vendor that supports multiple versions of key Apache projects so you can update your environment at your own pace.

Commercial Engines & Applications

One of the key developer benefits of the MapR Converged Data Platform is its basis on well-known, open APIs and interfaces. This enables commercial software vendors such as SAP, SAS, HP, and Cisco to easily deploy large scale applications onto the MapR Platform. It also means that even small teams of developers can create enterprise-grade software products by exploiting the built-in protections of the MapR Platform as well as mature commercial processing engines.

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