Connect the massive data storage and deep processing power of Hadoop with the real-time search and analytics of Elasticsearch. The Elasticsearch-Hadoop (ES-Hadoop) connector lets you get quick insight from your big data and makes working in the Hadoop ecosystem even better.
Hadoop shines as a batch processing system, but serving real-time results can be challenging. For truly interactive data discovery, ES-Hadoop lets you index Hadoop data into the Elastic Stack to take full advantage of the speedy Elasticsearch engine and beautiful Kibana visualizations.
With ES-Hadoop, you can easily build dynamic, embedded search applications to serve your Hadoop data or perform deep, low-latency analytics using full-text, geospatial queries and aggregations. From product recommendations to genomic sequencing, ES-Hadoop opens up a new world of broad applications.
Live decision making only happens with lightning fast data movement. With dynamic extensions to existing Hadoop APIs, ES-Hadoop lets you easily move data bi-directionally between Elasticsearch and Hadoop while exposing HDFS as a repository for long-term archival. Partition awareness, failure handling, type conversions, and co-location are all done transparently.
ES-Hadoop offers full support for Spark, Spark Streaming, and SparkSQL. Additionally, whether you are using Hive, Pig, Storm, Cascading, or standard MapReduce, ES-Hadoop offers a native interface allowing you to index to and query from Elasticsearch. No matter what you use, the absolute power of Elasticsearch is at your disposal.
ES-Hadoop ships with all the security features you'll need, including HTTP authentication and SSL/TLS support, to securely move your data between your Hadoop and Elasticsearch clusters. It also works with Kerberos-enabled Hadoop deployments.
ES-Hadoop is a single binary with no extra dependencies, so distributing it within your cluster is simple and fast.