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DBMS > ClickHouse vs. MongoDB vs. Riak KV vs. Solr

System Properties Comparison ClickHouse vs. MongoDB vs. Riak KV vs. Solr

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonMongoDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureDistributed, fault tolerant key-value storeA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engine
Secondary database modelsTime Series DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.26
Rank#49  Overall
#29  Relational DBMS
Score488.22
Rank#5  Overall
#1  Document stores
Score5.40
Rank#66  Overall
#9  Key-value stores
Score52.10
Rank#20  Overall
#3  Search engines
Websiteclickhouse.techwww.mongodb.comriak.com/­products/­riak-kvlucene.apache.org/­solr
Technical documentationclickhouse.tech/­docsdocs.mongodb.com/­manuallucene.apache.org/­solr/­resources.html
DeveloperYandex LLCMongoDB, IncBasho TechnologiesApache Software Foundation
Initial release2016200920092006
Current releasev20.11.3.3-stable, November 20204.4.5, April 20212.1.0, April 20158.9.0, June 2021
License infoCommercial or Open SourceOpen Source infoApache 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.Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ErlangJava
Server operating systemsFreeBSD
Linux
macOS
Linux
OS X
Solaris
Windows
Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
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.schema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnoyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesnoyesrestrictedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLClose to ANSI SQLRead-only SQL queries via the MongoDB Connector for BInoSolr Parallel SQL Interface
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
proprietary protocol using JSONHTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJavaScriptJavaScript and ErlangJava plugins
Triggersnoyes infoin MongoDB Atlas onlyyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesnoyes
More information provided by the system vendor
ClickHouseMongoDBRiak KVSolr
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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ClickHouseMongoDBRiak KVSolr
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