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DBMS > ClickHouse vs. CouchDB vs. Kinetica vs. MySQL

System Properties Comparison ClickHouse vs. CouchDB vs. Kinetica vs. MySQL

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonKinetica  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Fully vectorized database across both GPUs and CPUsWidely used open source RDBMS
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsTime Series DBMSSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.42
Rank#44  Overall
#28  Relational DBMS
Score16.64
Rank#40  Overall
#6  Document stores
Score0.74
Rank#202  Overall
#97  Relational DBMS
Score1206.05
Rank#2  Overall
#2  Relational DBMS
Websiteclickhouse.techcouchdb.apache.orgwww.kinetica.comwww.mysql.com
Technical documentationclickhouse.tech/­docsdocs.couchdb.org/­en/­stablewww.kinetica.com/­docsdev.mysql.com/­doc
DeveloperYandex LLCApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerKineticaOracle infosince 2010, originally MySQL AB, then Sun
Initial release2016200520121995
Current releasev22.1.2.2-stable, January 20223.2.0, October 20217.1, August 20218.0.28, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC, C++C and C++
Server operating systemsFreeBSD
Linux
macOS
Android
BSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesnoyes infovia viewsyesyes
SQL infoSupport of SQLClose to ANSI SQLnoSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native 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
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoView functions in JavaScriptuser defined functionsyes infoproprietary syntax
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Shardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possiblenoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
ClickHouseCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"KineticaMySQL
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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ClickHouseCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"KineticaMySQL
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