Hadoop：它是一个框架，允许使用简单的编程模型在几分之一秒内分析大量分布式数据及其跨计算机集群的处理。它旨在将单个服务器扩展为多台机器，每台机器都提供本地计算和存储。
Easticsearch：它是一个“开源、分布式、RESTful 搜索引擎”。它是一种分析引擎，能够近乎实时地存储和搜索大量数据。 Elasticsearch、Kibana、Beats 和 Logstash 是 Elastic Stack(有时称为 ELK Stack)。
下表列出了 Hadoop 和 Elasticsearch 之间的差异：
| S.No. | Elasticsearch | Hadoop |
|---|---|---|
| 1. | It is an Open Source, Distributed, RESTful Search Engine | It is an Open-source software for reliable, scalable, distributed computing |
| 2. | Primarily used as a search engine | Used to analyze large volume of data |
| 3. | Based on REST architecture ad provides API endpoints to perform CRUD operations over HTTP. | Follows master-slave architecture for storage and processing of data using HDFS and MapReduce programming. |
| 4. | Provides full query DSL based on JSON | Uses MapReduce programming model for processing of huge data clusters. |
| 5. | Full text search engine but can also be used as analytics framework. | Used as a tool to store data and run applications on clusters. |
| 6. | Supported in all Operating Systems with Java VM | Supported in Linux, Unix and Windows. |
| 7. | SQL-Like query Language | Uses Hive for query processing |
| 8. | Analytics on top of your search. | Rich APIs for data transformation and preparing data in distributed environment without memory issues. |