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Ambari Vs MCS

Question asked by foudroyantanalytics on Aug 3, 2016
Latest reply on Aug 8, 2016 by aditya.valluri
  • Ambari™: A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which includes support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heatmaps and ability to view MapReduce, Pig and Hive applications visually along with features to diagnose their performance characteristics in a user-friendly manner.

MapR Control System (MCS)

 

The MapR Control System (MCS) provides a graphical control panel for cluster administration with all the functionality of the command-line or REST APIs. The MCSprovides job monitoring metrics and helps you troubleshoot issues, such as which jobs required the most memory in a given week or which events caused job and task failures.

The MCS Dashboard provides a summary of information about the cluster including a cluster heat map that displays the health of each node; an alarms summary; cluster utilization that shows the CPU, memory, and disk space usage; services running across the cluster; the number of available, unavailable, and under replicated volumes; MapReduce jobs. Links in each pane provide shortcuts to more detailed information.

Is MCS is customized version of Ambari for MapR? If yes, what is the major difference between Ambari and MCS???

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