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.
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A POSIX file system that handles raw disk I/O for big data workloads.
Open APIs such as HDFS, POSIX, and NFS.
Add real-time, operational analytics to big data applications.
A global publish-subscribe event streaming system for big data.
Choose the right tool for the job.
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.
Learn MoreMapR 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.
Learn MoreOne 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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