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DBMS > ClickHouse vs. DolphinDB vs. Kinetica vs. SAP HANA

System Properties Comparison ClickHouse vs. DolphinDB vs. Kinetica vs. SAP HANA

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDolphinDB  Xexclude from comparisonKinetica  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageGPU-accelerated database for real-time analysis of large and streaming datasetsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.89
Rank#75  Overall
#39  Relational DBMS
Score0.25
Rank#252  Overall
#18  Time Series DBMS
Score0.59
Rank#198  Overall
#95  Relational DBMS
Score54.97
Rank#18  Overall
#11  Relational DBMS
Websiteclickhouse.techwww.dolphindb.comwww.kinetica.comwww.sap.com/­products/­hana.html
Technical documentationclickhouse.tech/­docswww.dolphindb.com/­helpwww.kinetica.com/­docshelp.sap.com/­hana
DeveloperYandex LLCDolphinDB, IncKineticaSAP
Initial release2016201820122010
Current releasev19.13.3.26, August 20196.02.0 SPS04, April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++
Server operating systemsLinux
Windows
LinuxAppliance or cloud-service
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Java
JavaScript
Python
R
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsSQLScript, R
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users and roles on table levelyes

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ClickHouseDolphinDBKineticaSAP HANA
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