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DBMS > ClickHouse vs. EventStoreDB vs. MongoDB vs. Tkrzw

System Properties Comparison ClickHouse vs. EventStoreDB vs. MongoDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMongoDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexIndustrial-strength, open-source database solution built from the ground up for event sourcing.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSEvent StoreDocument storeKey-value store
Secondary database modelsTime Series DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.88
Rank#44  Overall
#28  Relational DBMS
Score1.13
Rank#192  Overall
#1  Event Stores
Score477.90
Rank#5  Overall
#1  Document stores
Score0.00
Rank#377  Overall
#60  Key-value stores
Websiteclickhouse.techwww.eventstore.comwww.mongodb.comdbmx.net/­tkrzw
Technical documentationclickhouse.tech/­docsdevelopers.eventstore.comdocs.mongodb.com/­manual
DeveloperClickhouse Inc.Event Store LimitedMongoDB, IncMikio Hirabayashi
Initial release2016201220092020
Current releasev22.8.5.29-lts, September 202221.2, February 20216.0.1, August 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen 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 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsFreeBSD
Linux
macOS
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
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-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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.nono
Secondary indexesyes, when using the MergeTree engineyes
SQL infoSupport of SQLClose to ANSI SQLRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
proprietary protocol using JSON
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++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
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 infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesno

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More resources
ClickHouseEventStoreDBMongoDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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