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DBMS > ClickHouse vs. Hive vs. MonetDB

System Properties Comparison ClickHouse vs. Hive vs. MonetDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering Yandexdata warehouse software for querying and managing large distributed datasets, built on HadoopA relational database management system that stores data in columns
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.42
Rank#44  Overall
#28  Relational DBMS
Score83.45
Rank#15  Overall
#10  Relational DBMS
Score1.88
Rank#125  Overall
#61  Relational DBMS
Websiteclickhouse.techhive.apache.orgwww.monetdb.org
Technical documentationclickhouse.tech/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentation
DeveloperYandex LLCApache Software Foundation infoinitially developed by FacebookMonetDB BV
Initial release201620122004
Current releasev22.1.2.2-stable, January 20223.1.2, August 2019Jul2021-SP2, July 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoMozilla Public License 2.0
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++JavaC
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
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.no
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like DML and DDL statementsyes infoSQL 2003 with some extensions
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
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++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes, in SQL, C, R
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseHiveMonetDB
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

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3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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More resources
ClickHouseHiveMonetDB
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RDBMS Software Market Analysis, by 2031 | Microsoft, Oracle, PostgreSQL Global Development Group, SQLite – The Oxford Spokesman
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MonetDB Solutions secures investment from ServiceNow — CWI Amsterdam
1 October 2019, Centrum Wiskunde & Informatica (CWI)

Database consulting company MonetDB Solutions newest spin-off CWI
21 November 2013, Centrum Wiskunde & Informatica (CWI)

CWI research collaboration leads to 100 million euro investment in Amsterdam — CWI Amsterdam
6 November 2019, Centrum Wiskunde & Informatica (CWI)

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