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Difference between Elasticsearch and MongoDB

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  • Last Updated : 30 Jun, 2020

1. Elasticsearch :
Elasticsearch is a distributed search and analytics engine. It is open source and can be used for all types of data. It is implemented in Java programming language and supports all operating systems having java virtual machines (J.V.M). It is the main component of Elastic Stack, which is a open source application for data analysis and visualization. It has high scalability and the speed of performing a action is also high which makes it a easy and fast tool for data analysis, processing and visualization.

2. MongoDB :
MongoDB is a document oriented Database model which is a open source software. It was developed by MongoDB Inc. In 2009. It is implemented in C++ language. MongoDB uses the documents like JSON. It can be used as a standalone program and provides backup facility. It has a high ranking and is very popular among databases. It also consists of user defined java script functions. In MongoDB the scaling is done horizontally by the use of sharding.

Difference between IBM DB2 and MongoDB :

1.Elasticsearch is a search and analytics engine based on Apache Lucene.MongoDB is a document oriented database model.
2.The primary database model is a search engine.Primary database model is document store in MongoDB.
3.It has no concept of transactions.It has concept of transactions satisfying ACID properties .
4.It was developed by ELASTIC in 2010.It was developed by MongoDB Inc. in 2009.
5.It has SQL like query language.It uses MongoDB connector by BI for queries.
6.It involves eventual consistency.It involves immediate consistency.
7.It is implemented in java.It is implemented in C++ language.
8.It has Java API, RESTful HTTP/JSON API.It has proprietary protocol using JSON.
9.It is considered less than MongoDB in terms of ranking.It is considered better than Elasticsearch in terms of ranking.
10.It accepts all operating systems having JVM.It supports LINUX, OS X, Solaris, Windows.

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