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DBMS > eXtremeDB vs. GridDB vs. JaguarDB vs. SiteWhere

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

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGridDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonSiteWhere  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 applicationsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store
Vector DBMS
Time Series 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
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.mcobject.comgriddb.netwww.jaguardb.comgithub.com/­sitewhere/­sitewhere
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.griddb.netwww.jaguardb.com/­support.htmlsitewhere1.sitewhere.io/­index.html
DeveloperMcObjectToshiba CorporationDataJaguar, Inc.SiteWhere
Initial release2001201320152010
Current release8.2, 20215.1, August 20223.3 July 2023
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 V3.0Open Source infoCommon Public Attribution License Version 1.0
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 and C++C++C++ infothe server part. Clients available in other languagesJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeyesyesyespredefined scheme
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 indexesyesyesyesno
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, triggersno
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
HTTP REST
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
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingShardingSharding infobased on HBase
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 replicationselectable replication factor infobased on HBase
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 ConsistencyImmediate Consistency
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 availableyesyesyes
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 accountsUsers with fine-grained authorization concept
More information provided by the system vendor
eXtremeDBGridDBJaguarDBSiteWhere
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
eXtremeDBGridDBJaguarDBSiteWhere
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