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DBMS > Hypertable vs. Kinetica vs. MonetDB vs. OmniSci

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

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopGPU-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
Score0.54
Rank#194  Overall
#96  Relational DBMS
Score1.66
Rank#114  Overall
#58  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Websitewww.kinetica.comwww.monetdb.orgwww.omnisci.com
Technical documentationwww.kinetica.com/­docswww.monetdb.org/­Documentationwww.omnisci.com/­docs/­latest
DeveloperHypertable Inc.KineticaMonetDB BVMapD Technologies, Inc.
Initial release2009201220042016
Current release0.9.8.11, March 20166.0Apr2019, April 2019V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++CC++ and CUDA
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 exact value or prefix value scansyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsyes
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
JDBC
ODBC
native C library infoMAPI library (MonetDB application programming interface)
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
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
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMaster-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 systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess 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
HypertableKineticaMonetDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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

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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More resources
HypertableKineticaMonetDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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