DBMS > Elasticsearch vs. MongoDB

System Properties Comparison Elasticsearch vs. MongoDB

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Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful modern search and analytics engine based on Apache Lucene info

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

One of the most popular document stores

Primary database model

Search engine

Document store

Secondary database models

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	150.17
Rank	#7	Overall
	#1	Search engines

Score	412.09
Rank	#5	Overall
	#1	Document stores

Website

www.elastic.co/products/elasticsearch

www.mongodb.com

Technical documentation

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

docs.mongodb.com/manual

Developer

Elastic

MongoDB, Inc

Initial release

2010

2009

Current release

7.3.0, August 2019

4.0.10, May 2019

License

Commercial or Open Source

Open Source info

Apache Version 2; Elastic License

Open Source info

MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.

Cloud-based only info

Only available as a cloud service

MongoDB available as DBaaS (MongoDB Atlas)

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.

MongoDB Atlas: Deploy a fully managed cloud database in minutes.

Implementation language

Java

C++

Server operating systems

All OS with a Java VM

Linux
OS X
Solaris
Windows

Data scheme

schema-free info

Flexible type definitions. Once a type is defined, it is persistent

schema-free info

Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.

Typing

predefined data types such as float or date

yes

string, integer, double, decimal, boolean, date, object_id, geospatial

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

Read-only SQL queries via the MongoDB Connector for BI

APIs and other access methods

Java API
RESTful HTTP/JSON API

proprietary protocol using JSON

Supported programming languages

.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients

Actionscript info

inofficial driver
C
C#
C++
Clojure info

inofficial driver
ColdFusion info

inofficial driver
D info

inofficial driver
Dart info

inofficial driver
Delphi info

inofficial driver
Erlang
Go info

inofficial driver
Groovy info

inofficial driver
Haskell
Java
JavaScript
Lisp info

inofficial driver
Lua info

inofficial driver
MatLab info

inofficial driver
Perl
PHP
PowerShell info

inofficial driver
Prolog info

inofficial driver
Python
R info

inofficial driver
Ruby
Scala
Smalltalk info

inofficial driver

Server-side scripts info

Stored procedures

yes

JavaScript

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency info

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Eventual Consistency
Immediate Consistency info

can be individually decided for each write operation

Foreign keys info

Referential integrity

typically not used, however similar functionality with DBRef possible

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Multi-document ACID Transactions with snapshot isolation

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

optional

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

Memcached and Redis integration

yes

In-memory storage engine introduced with MongoDB version 3.2

User concepts info

Access control

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

Elasticsearch is a highly scalable open source full-text search and analytics engine....
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MongoDB is the next-generation database that helps businesses transform their industries...
» more

Competitive advantages

Open source, real-time index, search and analysis, horizontally scalable, distributed,...
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By offering the best of traditional databases as well as the flexibility, scale,...
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Typical application scenarios

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Internet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
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Key customers

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ADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
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Market metrics

More than 250 million cumulative downloads More than 100,000 community members in...
» more

40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» more

Licensing and pricing models

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

MongoDB database server: Free Software Foundation's GNU AGPL v3.0. Commercial licenses...
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Related products and services

3rd parties

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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Elastic Cloud: Try the official hosted Elasticsearch.
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
» more

ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
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Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
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Studio 3T: The world's favorite IDE for working with MongoDB
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more