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DBMS > BoltDB vs. GridDB vs. Kinetica vs. Linter vs. OpenQM

System Properties Comparison BoltDB vs. GridDB vs. Kinetica vs. Linter vs. OpenQM

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGridDB  Xexclude from comparisonKinetica  Xexclude from comparisonLinter  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Scalable in-memory time series database optimized for IoT and Big DataFully vectorized database across both GPUs and CPUsRDBMS for high security requirementsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitegithub.com/­boltdb/­boltgriddb.netwww.kinetica.comlinter.ruwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.griddb.netdocs.kinetica.com
DeveloperToshiba CorporationKineticarelex.ruRocket Software, originally Martin Phillips
Initial release20132013201219901993
Current release5.1, August 20227.1, August 20213.4-12
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C, C++C and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyesyesyesyes infowith some exceptions
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at container levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess 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
BoltDBGridDBKineticaLinterOpenQM infoalso called QM
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
BoltDBGridDBKineticaLinterOpenQM infoalso called QM
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