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DBMS > ClickHouse vs. MonetDB vs. MongoDB

System Properties Comparison ClickHouse vs. MonetDB vs. MongoDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonMonetDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA relational database management system that stores data in columnsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument storeSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score1.74
Rank#119  Overall
#58  Relational DBMS
Score421.12
Rank#5  Overall
#1  Document stores
Websiteclickhouse.yandexwww.monetdb.orgwww.mongodb.com
Technical documentationclickhouse.yandex/­docswww.monetdb.org/­Documentationdocs.mongodb.com/­manual
DeveloperYandex LLCMonetDB BVMongoDB, Inc
Initial release201620042009
Current releasev19.13.3.26, August 2019Apr2019, April 20194.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageCC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infoAlthough 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 infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
Secondary indexesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
proprietary protocol using JSON
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
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 proceduresyes, in SQL, C, RJavaScript
Triggersyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoMaster-slave replication available in experimental statusMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolation
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.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
ClickHouseMonetDBMongoDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
News

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

Remote Tables and Authorization
10 August 2018

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.

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ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
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Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ClickHouseMonetDBMongoDB
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Recent citations in the news

Time Series Databases, the Future of Monitoring and Logging
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21 November 2019, Market Expert

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