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DBMS > ClickHouse vs. CouchDB vs. Dgraph vs. Kinetica

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

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDgraph  Xexclude from comparisonKinetica  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.Distributed and scalable native Graph DBMSFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument storeGraph DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.88
Rank#44  Overall
#28  Relational DBMS
Score15.98
Rank#41  Overall
#7  Document stores
Score1.71
Rank#148  Overall
#11  Graph DBMS
Score0.44
Rank#272  Overall
#127  Relational DBMS
Websiteclickhouse.techcouchdb.apache.orgdgraph.iowww.kinetica.com
Technical documentationclickhouse.tech/­docsdocs.couchdb.org/­en/­stabledgraph.io/­docswww.kinetica.com/­docs
DeveloperClickhouse Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDgraph Labs, Inc.Kinetica
Initial release2016200520162012
Current releasev22.8.5.29-lts, September 20223.2.2, April 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangGoC, C++
Server operating systemsFreeBSD
Linux
macOS
Android
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeyes
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.nononono
Secondary indexesyes, when using the MergeTree engineyes infovia viewsyesyes
SQL infoSupport of SQLClose to ANSI SQLnonoSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
RESTful HTTP 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#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptnouser defined functions
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0yesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication via RaftSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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 RAM
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseno infoPlanned for future releasesAccess rights for users and roles on table level
More information provided by the system vendor
ClickHouseCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DgraphKinetica
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"DgraphKinetica
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