Download MapR M5 Enterprise Edition for Apache Hadoop

Feature Spotlight

High Availability
With JobTracker HA and Distributed NameNode HA™, MapR’s Lockless Storage Services™ architecture was designed with no single points of failure. Distributed high-availability is also built-in throughout the entire system. The M5 Edition’s JobTracker HA prevents lost jobs and painful restarts. Our Distributed NameNode HA™ eliminates one of the most frustrating failure modes of all other Hadoop distributions and provides both scale and performance advantages.

Mirroring for Business Continuity.
The M5 Edition makes disaster recovery easy and built-in. Going far beyond replication, MapR’s mirroring means you can set policies around your Recovery Time objectives (RTO) and mirror your data automatically within your cluster, between two clusters or between two data centers.

Protect your data and set point-in-time recovery with snapshots.
Replication cannot protect data from application errors or deletion. Serious applications require the ability to recover to a specific point in time. MapR’s Snapshots require very low overhead and can be done on a frequent interval. Recovery is as easy as copying a directory or files from the snapshot directory to the current directory. You can also drag and drop from any file browser supporting NFS.

Share the Cluster Safely with multiple jobs.
We protect the core system by isolating it from user jobs so runaway jobs can’t bring down your entire cluster. Safely sharing the cluster also means higher utilization. Setting quotas for users and then tracking capacity usage is made easy whether you are managing one node or thousands. Automated alerts provide a built-in assistant for you to rely on as you manage the Hadoop environment.

Provision Jobs, Users and Groups and perform capacity planning.
MapR is the first to implement volumes. Volumes allow you to frame your application’s business requirements in Hadoop. Elements such as application Recovery Time Objectives, Recovery Point Objectives, required CPU and data resources, expected capacity growth and security requirements can all be defined at the volume level.

Revolutionary Direct Accss NFS™ for realtime dataflows.
MapR enables you to simply mount the cluster as an NFS volume giving Hadoop a full read/write storage system to support multiple readers and writers as well as full random read and write. Our patent pending NFS access allows applications to load data directly into Hadoop and realtime access to Hadoop results.

Instant intuitive insight from MapR Heatmap™.
MapR provides insight, complete access and power tools to help you understand and operate your Hadoop cluster with ease. Intuitive views into the most critical issues are automatically provided along with tools to easily provision a single node or thousands. Our graphical and programmatic interfaces are designed to scale to the largest clusters, and of course, we provide CLI and REST access as well.