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DBMS > ClickHouse vs. Kinetica vs. SiteWhere

System Properties Comparison ClickHouse vs. Kinetica vs. SiteWhere

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonKinetica  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexGPU-accelerated database for real-time analysis of large and streaming datasetsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.40
Rank#71  Overall
#39  Relational DBMS
Score0.56
Rank#200  Overall
#97  Relational DBMS
Score0.00
Rank#342  Overall
#31  Time Series DBMS
Websiteclickhouse.techwww.kinetica.comsitewhere.io
Technical documentationclickhouse.tech/­docswww.kinetica.com/­docssitewhere.io/­docs/­2.1.0
DeveloperYandex LLCKineticaSiteWhere
Initial release201620122010
Current releasev19.13.3.26, August 20196.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemsLinuxLinux
OS X
Windows
Data schemeyespredefined scheme
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization concept

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More resources
ClickHouseKineticaSiteWhere
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