Elasticsearch Hadoop
Native integration library for using Elasticsearch with Hadoop, Spark, and Hive for real-time search and analytics on big data.
What is Elasticsearch Hadoop?
Elasticsearch Hadoop is an open-source connector library that integrates Elasticsearch with Hadoop, Spark, and Hive. It enables big data processing frameworks to read data from Elasticsearch for analysis and write processed results back, bridging real-time search with batch processing. The library provides native APIs for MapReduce, Spark RDDs/DataFrames, and Hive external tables.
Data engineers and developers working with Hadoop ecosystems who need to combine Elasticsearch's real-time search capabilities with big data processing frameworks for analytics pipelines.
It offers a lightweight, dependency-free solution with native support for major Hadoop tools, eliminating custom integration code and enabling efficient bidirectional data flow between Elasticsearch and big data platforms.
Overview
:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop
Use Cases
Best For
- Running Hadoop MapReduce jobs that read from or write to Elasticsearch indices
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