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.

App

App Overview

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.

To learn more, visit www.elastic.co


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Data Analytics
Data Ingestion
Open Source
Search