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DBMS > Cassandra vs. Kinetica vs. MonetDB vs. OmniSci

System Properties Comparison Cassandra vs. Kinetica vs. MonetDB vs. OmniSci

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGPU-accelerated database for real-time analysis of large and streaming datasetsA relational database management system that stores data in columnsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.22
Rank#10  Overall
#1  Wide column stores
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score1.88
Rank#111  Overall
#55  Relational DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websitecassandra.apache.orgwww.kinetica.comwww.monetdb.orgwww.omnisci.com
Technical documentationcassandra.apache.org/­doc/­latestwww.kinetica.com/­docswww.monetdb.org/­Documentationwww.omnisci.com/­docs/­latest
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookKineticaMonetDB BVMapD Technologies, Inc.
Initial release2008201220042016
Current release3.11.4, February 20196.0Apr2019, April 2019V4
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++CC++ and CUDA
Server operating systemsBSD
Linux
OS X
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesrestricted infoonly equality queries, not always the best performing solutionyesyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP API
JDBC
ODBC
native C library infoMAPI library (MonetDB application programming interface)
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsyes, in SQL, C, Rno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding via remote tablesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-slave replicationnone infoMaster-slave replication available in experimental statusMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraKineticaMonetDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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...
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Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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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

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

Remote Tables and Authorization
10 August 2018

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
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Instaclustr: Fully Hosted and Managed Apache Cassandra
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More resources
CassandraKineticaMonetDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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