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.
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
|MapR Distribution||3.0+||InputFormat/OutputFormat API (v1 & v2)|
|Pig||0.10+||Storage (Load/StoreFunc) API|
|Hive||0.10+||StorageHandler & SerDe API|
The product installation, usage and troubleshooting are documented at: https://www.elastic.co/guide/en/elasticsearch/hadoop/current/index.html
Again, documented at: https://www.elastic.co/guide/en/elasticsearch/hadoop/current/index.html
Commercial support: https://www.elastic.co/subscriptions
Community support: https://discuss.elastic.co/c/elasticsearch-and-hadoop