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DBMS > eXtremeDB vs. GridDB vs. JaguarDB vs. mSQL

System Properties Comparison eXtremeDB vs. GridDB vs. JaguarDB vs. mSQL

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGridDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringScalable in-memory time series database optimized for IoT and Big DataPerformant, highly scalable DBMS for AI and IoT applicationsmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitewww.mcobject.comgriddb.netwww.jaguardb.comhughestech.com.au/­products/­msql
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.griddb.netwww.jaguardb.com/­support.html
DeveloperMcObjectToshiba CorporationDataJaguar, Inc.Hughes Technologies
Initial release2001201320151994
Current release8.2, 20215.1, August 20223.3 July 20234.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL V3.0commercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C++ infothe server part. Clients available in other languagesC
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes 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.no infosupport of XML interfaces availablenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL92, SQL-like TQL (Toshiba Query Language)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesnonono
Triggersyes infoby defining eventsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesno
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.yesyesnono
User concepts infoAccess controlAccess rights for users can be defined per databaserights management via user accountsno
More information provided by the system vendor
eXtremeDBGridDBJaguarDBmSQL infoMini SQL
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
GitHub trending repository
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
eXtremeDBGridDBJaguarDBmSQL infoMini SQL
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