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A comparative study of elasticsearch and CouchDB document oriented databases

机译：Elasticsearch与CouchDB面向文档的数据库的比较研究

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摘要

With the advent of large complex datasets, NOSQL databases have gained immense popularity for their efficiency to handle such datasets in comparison to relational databases. There are a number of NOSQL data stores for e.g. Mongo DB, Apache Couch DB etc. Operations in these data stores are executed quickly. In this paper we aim to get familiar with 2 most popular NoSQL databases: Elasticsearch and Apache CouchDB. This paper also aims to analyze the performance of Elasticsearch and CouchDB on image data sets. This analysis is based on the results carried out by instantiate, read, update and delete operations on both document-oriented stores and thus justifying how CouchDB is more efficient than Elasticsearch during insertion, updation and deletion operations but during selection operation Elasticsearch performs much better than CouchDB. The implementation has been done on LINUX platform.
机译：随着大型复杂数据集的出现，与关系数据库相比，NOSQL数据库因其处理此类数据集的效率而获得了极大的欢迎。有许多NOSQL数据存储，例如Mongo DB，Apache Couch DB等。这些数据存储区中的操作可以快速执行。在本文中，我们旨在熟悉2种最流行的NoSQL数据库：Elasticsearch和Apache CouchDB。本文还旨在分析Elasticsearch和CouchDB在图像数据集上的性能。该分析基于对两个面向文档的存储进行实例化，读取，更新和删除操作所执行的结果，从而证明在插入，更新和删除操作期间，CouchDB如何比Elasticsearch更有效，但在选择操作期间，Elasticsearch的性能要比CouchDB。该实现已在LINUX平台上完成。

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