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DBMS > BoltDB vs. Drizzle vs. GigaSpaces vs. Kinetica vs. mSQL

System Properties Comparison BoltDB vs. Drizzle vs. GigaSpaces vs. Kinetica vs. mSQL

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonKinetica  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFully vectorized database across both GPUs and CPUsmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#224  Overall
#32  Key-value stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.gigaspaces.comwww.kinetica.comhughestech.com.au/­products/­msql
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerGigaspaces TechnologiesKineticaHughes Technologies
Initial release20132008200020121994
Current release7.2.4, September 201215.5, September 20207.1, August 20214.4, October 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial infofree licenses can be provided
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++Java, C++, .NetC, C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-99 for query and DML statementsSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesGoC
C++
Java
PHP
.Net
C++
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yes, event driven architectureyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
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 RAMno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlAccess rights for users and roles on table levelno

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More resources
BoltDBDrizzleGigaSpacesKineticamSQL infoMini SQL
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