Product Tour

For Administrators:

Leverage industry standard models for network, storage and user administration for familiar and intuitive cluster management.

Complete visibility and protection from the software down to the hardware. Visually monitor node health and also setup alerts and alarms from the MapR Control System (MCS). Benefit from MapR’s failure detection and self-healing.

Support applications with zero downtime by doing nothing. Data from a failed node becomes instantly available automatically.

Run Hadoop in a lights out data center. There are no NameNodes to manage or jobs that need to be re-started. Self-healing protects from multiple failures across system components.

Perform point-in-time recovery of files and tables to overcome user or application created errors. Also configure different snapshot frequencies for different volumes.

Set up disaster recovery for all data – both files and tables. Also leverage mirroring to replicate data between production and research environments or between on-premise and cloud infrastructures.

Zoom into cluster usage and performance metrics for jobs and tasks with colorful line charts and histograms. All MCS operations are also available through the MapR CLI and REST APIs.

MapR supports volumes to make it easy to apply policies across directories and file contents without managing individual files. These policies include data protection, retention, snapshots, and access privileges. Setup quotas for users. Save time with centralized configuration and logging. Also leverage NFS capabilities to access and monitor the cluster.

Share the cluster. Exploit volumes to create isolated environments for users, groups and applications with different security, hardware or network requirements. Use labels and queues to better manage job execution.

Migrate to and from a MapR distribution with full binary compatibility. Never worry about having to recompile code to migrate.

Eliminate planned downtimes. Perform maintenance or software upgrades on your cluster, few nodes at a time.

For Developers:

Enjoy the best set of accessibility features and design scalability for development.

Have the complete feature set including HBase, Hive, Pig, Mahout and the rest of the Apache Hadoop ecosystem at your disposal. Make changes to open-source code and no matter what you do, benefit from the underlying performance, reliability and ease of use.

With a unified namespace for files and tables, design MapReduce operations more effectively. Decide on the best application workflow for integrating structured and unstructured data with the flexibility to create and delete files and tables on the fly.

Run up to 10,000 nodes, store over 120 PB of data, create over a trillion files, create over a trillion tables, create up to 64 database column families per table and design for gigabyte cell sizes.

Mount the cluster as a volume, have browser access to view files and enable any file based application to perform random read-write operations on cluster data. Use scripts, standard enterprise and UNIX tools to access and manipulate data.

Integrate with SQL data sources directly without special connectors. Create automated flows between your RDBMS systems and the Hadoop cluster, making it completely transparent to the business user.

For Business Users:

Deploy Hadoop and NoSQL capabilities together on one easy, dependable and fast platform.

Take advantage of the full set of Hadoop capabilities that have been made easier, faster and reliable through groundbreaking engineering innovation.

Run mission critical applications at 99.999% availability. Run lights out data center with self healing of all critical services, data protection, disaster recovery, rolling upgrades and instant node recovery.

MapR delivers full binary compatibility and support for industry standard APIs, as well as the ability to port data in and out of the distribution without any code changes or lock-ins. And our support staff is available 24/7 to meet your needs.

Perform any Hadoop operation, from offline batch analytics to real time analytics or light weight OLTP transactions. Run a wide variety of workloads using data placement control and support for heterogeneous hardware.

Leverage industry standard APIs such as NFS and ODBC to connect different data sources seamlessly. Create new business intelligence workflows that include Hadoop while continuing to use existing scripts and applications.

Run your cluster at 2-5 times better performance than other distributions. Better hardware utilization provides you with greater ROI.

Deploy Hadoop in the cloud or in a hybrid-cloud setup with industry leaders such as Amazon Web Services and Google Compute Engine.