This is documentation for MapR version 4.1. You can also refer to MapR documentation for the latest or previous releases.

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  • Apache Drill - Installing and using Drill on a MapR cluster
  • Cascading - Installing and using Cascading on a MapR cluster
  • Flume - Installing and using Flume on a MapR cluster
  • HBase - Installing and using HBase on MapR
  • HCatalog - Working with HCatalog on MapR
  • Hive - Installing and using Hive on a MapR cluster, and setting up a MySQL metastore
  • HttpFS- Installing and configuring HttpFS on a MapR cluster
  • Hue - Installing and using Hue on MapR
  • Impala - Installing and using Impala on a MapR cluster
  • Mahout - Environment variable settings needed to run Mahout on MapR
  • Oozie - Installing and using Oozie on a MapR cluster
  • Pig - Installing and using Pig on a MapR cluster
  • Spark and Shark - Installing and running Spark and Shark on MapR
  • Sqoop - Installing and using Sqoop on a MapR cluster
  • Storm (0.9.3-1411) - Installing and using Storm on a MapR cluster
  • Tez (Developer Preview) - Installing Tez on a MapR cluster

After installing all the needed components, see Next Steps After Installation for a list of post-install considerations to configure your cluster.

MapR works well with Hadoop monitoring tools, such as:

  • Ganglia - Setting up Ganglia monitoring on a MapR cluster
  • Nagios Integration - Generating a Nagios Object Definition file for use with a MapR cluster

MapR works with the leaders in the Hadoop ecosystem to provide the most powerful data analysis solutions. For more information about our partners, take a look at the following pages:

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Page: Apache Drill on MapR Page: Cascading Page: Flume Page: HBase Page: HCatalog Page: Hive Page: HttpFS Page: Hue Page: Impala Page: Mahout Page: Oozie Page: OpenStack Sahara (Kilo) Page: Pig Page: Sentry Page: Spark Page: Sqoop Page: Storm Page: Tez (Developer Preview) Page: Third Party Solutions