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DBMS > Cassandra vs. ClickHouse vs. MonetDB

System Properties Comparison Cassandra vs. ClickHouse vs. MonetDB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonClickHouse  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessColumn-oriented Relational DBMS powering YandexA relational database management system that stores data in columns
Primary database modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score121.09
Rank#10  Overall
#1  Wide column stores
Score5.31
Rank#65  Overall
#34  Relational DBMS
Score1.89
Rank#124  Overall
#61  Relational DBMS
Websitecassandra.apache.orgclickhouse.techwww.monetdb.org
Technical documentationcassandra.apache.org/­doc/­latestclickhouse.tech/­docswww.monetdb.org/­Documentation
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookYandex LLCMonetDB BV
Initial release200820162004
Current release3.11.6, February 2020v20.3.8.53, April 2020Jun2020, June 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open 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 languageJavaC++C
Server operating systemsBSD
Linux
OS X
Windows
FreeBSD
Linux
macOS
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
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 indexesrestricted infoonly equality queries, not always the best performing solutionnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)Close to ANSI SQLyes infoSQL 2003 with some extensions
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
HTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C# 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++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, in SQL, C, R
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
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.noyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraClickHouseMonetDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

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15 June 2020

From automake to CMake: a facelift for our build infrastructure
9 June 2020

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

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
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More resources
CassandraClickHouseMonetDB
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