Partner App: Elasticsearch for Apache Hadoop

Elasticsearch for Apache Hadoop

Elastic provides real-time insights and makes massive amounts of structured and unstructured data usable for developers and enterprises. Built around three open source products — Elasticsearch, Logstash, and Kibana — Elastic powers many of the world’s leading mobile, social, consumer, and business applications.

Elasticsearch for Apache Hadoop (also known as ES-Hadoop) is Elastic’s two-way connector that adds real-time search and analytics to your MapR Hadoop Distribution. Whether it’s MapReduce, Hive, Pig, or Cascading, Spark, or Storm, ES-Hadoop lets you natively integrate with the Elastic platform to help you get more out of your Hadoop investment.

Application Description

Elasticsearch for Apache Hadoop (ES-Hadoop) connects the real-time search and analytics power of Elasticsearch to the Hadoop ecosystem. With a native integration, ES-Hadoop lets you seamlessly move data between Elasticsearch and Hadoop, allowing you to read and write data to Elasticsearch and query it in real time.

ES-Hadoop ships with security features including HTTP authentication and support for SSL/TLS. It also works with Kibana, the popular open source visualization tool, to transform your data into customizable graphs, charts, maps, and dashboards — letting you see the full value of your big data in real time.

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Component Version Connection Method
MapR Distribution 3.0+ InputFormat/OutputFormat API (v1 & v2)
Pig 0.10+ Storage (Load/StoreFunc) API
Cascading 2.1 Tap API
Hive 0.10+ StorageHandler & SerDe API
Application Version: ElasticSearch 1.1+

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Installation instructions

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Use Instructions

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Support Information

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