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DBMS > BoltDB vs. Kinetica vs. MonetDB vs. OpenQM

System Properties Comparison BoltDB vs. Kinetica vs. MonetDB vs. OpenQM

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Fully vectorized database across both GPUs and CPUsA relational database management system that stores data in columnsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#223  Overall
#34  Key-value stores
Score0.55
Rank#230  Overall
#110  Relational DBMS
Score1.79
Rank#129  Overall
#63  Relational DBMS
Score0.19
Rank#290  Overall
#10  Multivalue DBMS
Websitegithub.com/­boltdb/­boltwww.kinetica.comwww.monetdb.orgwww.openqm.com
Technical documentationwww.kinetica.com/­docswww.monetdb.org/­Documentationwww.openqm.com/­support/­documentation
DeveloperKineticaMonetDB BVMartin Phillips
Initial release2013201220041993
Current release7.1, August 2021Jul2021-SP2, July 20213.4-12
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoMozilla Public License 2.0Open Source infoGPLv2, extended commercial license 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 languageGoC, C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyesyesyes infowith some exceptions
Typing infopredefined data types such as float or datenoyesyes
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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesGoC++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyes, in SQL, C, Ryes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding via remote tablesyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
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 RAM
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
BoltDBKineticaMonetDBOpenQM infoalso called QM
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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More resources
BoltDBKineticaMonetDBOpenQM infoalso called QM
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