MapR 5.1 is at End of Life (EOL) and no longer supported. Please see the latest documentation. This documentation is not being updated.

5.1 Ecosystem
This guide contains a section for each open source project that MapR supports. You can learn how to install, configure, use, and integrate each project within the context of a MapR cluster.
- AsyncHBase
- Cascading
- Drill
- Flume
- HBase
- HCatalog
- Hive
- HttpFS
- Hue
- Impala
- Mahout
- Myriad
- Oozie
- Pig
- OpenStack Sahara (Mitaka)
- Sentry
- Spark
  - Spark Feature Support
    MapR supports most Spark features. However, there a few exceptions.
  - Spark Standalone
    - Installing Spark Standalone
      The following instructions explain how to install Spark Standalone using manual steps.
    - Upgrading Spark Standalone
      The following instructions explain how to upgrade an existing installation of Spark 1.x.
    - Configuring Spark Standalone
    - Using Spark Standalone
  - Spark on YARN
  - Integrating Spark
  - Spark 2.0.0 Developer Preview
    Apache Spark is an open-source processing engine that you can use to process Hadoop data. Although MapR does not yet ship a Spark 2.0.0 package, you can install and use Spark 2.0.0 on a non-secure MapR 5.1 cluster or on a secure MapR 5.1 cluster that uses MapR-SASL authentication.
- Sqoop
- Storm
- Third Party Solutions

Spark Standalone

This section includes topics about installing, upgrading, configuring, and using Spark in Standalone mode.

To integrate Spark with other ecosystem components, see Integrating Spark.

For additional documentation, see the Apache Spark website.