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
  - 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

Apache Spark is an open-source processing engine that you can use to process Hadoop data.

The installation, configuration, and operational steps for Spark differ based on the Spark mode (Standalone or YARN) that you want to install. However, the steps to integrate Spark with other ecosystem components are the same.

This section provides documentation about installing, upgrading, configuring and using Spark with MapR, but it does not duplicate Apache documentation.

You can also refer to additional documentation available on the Apache Spark website.

NOTE: Complete support for Spark Streaming is only available from the MapR 5.2 release.