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

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

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexGPU-accelerated database for real-time analysis of large and streaming datasetsA relational database management system that stores data in columnsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument 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
Score0.59
Rank#198  Overall
#95  Relational DBMS
Score1.95
Rank#116  Overall
#56  Relational DBMS
Score54.97
Rank#18  Overall
#11  Relational DBMS
Websiteclickhouse.yandexwww.kinetica.comwww.monetdb.orgwww.sap.com/­products/­hana.html
Technical documentationclickhouse.yandex/­docswww.kinetica.com/­docswww.monetdb.org/­Documentationhelp.sap.com/­hana
DeveloperYandex LLCKineticaMonetDB BVSAP
Initial release2016201220042010
Current releasev19.13.3.26, August 20196.0Nov2019-SP1, December 20192.0 SPS04, April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0commercial
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 systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
Appliance or cloud-service
Data schemeyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, RSQLScript, R
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone infoMaster-slave replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyes
More information provided by the system vendor
ClickHouseKineticaMonetDBSAP HANA
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ClickHouseKineticaMonetDBSAP HANA
Recent citations in the news

From Russia with OLAP: Percona uses ClickHouse analytics - Open Source Insider
10 October 2019, ComputerWeekly.com

Time Series Databases, the Future of Monitoring and Logging
3 December 2019, Security Boulevard

Data Monoliths Go Cloud-Native with Kubernetes
31 October 2019, DevOps.com

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

Percona Announces Enhanced Version of Award-Winning Open Source Database Monitoring and Management Platform, For Faster Performance Issue Resolution
1 October 2019, GlobeNewswire

provided by Google News

Kinetica Recognized by InfoWorld as 2020 Technology of the Year
10 February 2020, Yahoo Finance

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12 February 2020, Yahoo Finance

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17 February 2020, TechNews.mobi

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24 January 2020, openPR

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1 October 2019, Centrum Wiskunde & Informatica (CWI)

Future Growth Of RDBMS Software Market By New Business Developments, Innovations, And Top Companies – Forecast To 2026
12 February 2020, Nyse Nasdaq Live

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A Global Digital Media Network
5 February 2020, Digital Journal

RDBMS Software Industry 2019 Explain – What is the current size of the market?
10 February 2020, Redhill Local Councillors

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Atos Furthers Collaboration With Microsoft to Address SAP HANA Market
17 February 2020, AiThority

SAP HANA and S4HANA Market 2019 Analysis by Key Players, Share, Trend, Segmentation and Forecast to 2026
16 February 2020, Instant Tech News

Australian government to roll out SAP S/4 Hana
10 February 2020, ComputerWeekly.com

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7 February 2020, iTnews

SAP Extends Deadline For Business Suite 7 And S/4 Hana
4 February 2020, E3zine.com

provided by Google News

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