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DBMS > Elasticsearch vs. MongoDB

System Properties Comparison Elasticsearch vs. MongoDB

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Our visitors often compare Elasticsearch and MongoDB with Redis, Cassandra and MySQL.

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionA modern search and analytics engine based on Apache LuceneOne of the most popular document stores
Primary database modelSearch engineDocument store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score131.36
Rank#8  Overall
#1  Search engines
Score341.41
Rank#5  Overall
#1  Document stores
Websitewww.elastic.co/­products/­elasticsearchwww.mongodb.com
Technical documentationwww.elastic.co/­guide/­index.htmldocs.mongodb.com/­manual
DeveloperElasticMongoDB, Inc
Initial release20102009
Current release6.2.4, April 20183.6.4, April 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL version 3, commercial license available
Cloud-based infoOnly available as a cloud servicenono
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infoAlthough schema-free, documents of the same collection often follow the same structure
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, boolean, date, object_id
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnono
APIs and other access methodsJava API
RESTful HTTP/JSON API
proprietary protocol using JSON
Supported programming languages.Net
Clojure
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lua
Perl
PHP
Python
Ruby
Scala
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go infoinofficial driver
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Server-side scripts infoStored proceduresyesJavaScript
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and roles
More information provided by the system vendor
ElasticsearchMongoDB
Specific characteristicsMongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
» more
Market metrics20 million downloads (growing at thousands downloads per day). 2,000+ customers including...
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation’s GNU AGPL v3.0. Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

3rd party products and services
3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more
Progress DataDirect: Data connectivity across standard SQL and REST
» more

DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
» more

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

Studio 3T: The world's favorite IDE for working with MongoDB
» more

ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
ElasticsearchMongoDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
2 November 2015, Paul Andlinger

show all

Conferences and events

MongoDB World 2018
New York, USA, 26-27 June 2018

Recent citations in the news

Scaling Uber's Elasticsearch Clusters
12 April 2018, InfoQ.com

Elastic opens up its X-Pack code
15 April 2018, Networks Asia

The elastic technology behind Grab's easy rides
25 March 2018, Networks Asia

Elasticsearch: Pesquise e analise os seus dados em tempo real
19 April 2018, Pplware

CyberSponse Proud to Announce Integration with Elastic for Security Analytics
17 April 2018, Benzinga

provided by Google News

Why MongoDB Shares Rose 35% in March
13 April 2018, Motley Fool

Guide to Day Traders – MongoDB, (NASDAQ: MDB) – Stocks News ...
23 April 2018, Stock Watch

MongoDB Could Move Lower When Lockup Expires
7 April 2018, Seeking Alpha

Why MongoDB Inc. Stock Popped Today
26 March 2018, Motley Fool

Genomics England uses MongoDB to Power the Data Science ...
10 April 2018, PR Newswire (press release)

provided by Google News

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