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DBMS > GridDB vs. mSQL vs. Stardog vs. Tkrzw vs. Transwarp KunDB

System Properties Comparison GridDB vs. mSQL vs. Stardog vs. Tkrzw vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DatamSQL (Mini SQL) is a simple and lightweight RDBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
RDF store
Key-value storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitegriddb.nethughestech.com.au/­products/­msqlwww.stardog.comdbmx.net/­tkrzwwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.griddb.netdocs.stardog.com
DeveloperToshiba CorporationHughes TechnologiesStardog-UnionMikio HirabayashiTranswarp
Initial release2013199420102020
Current release5.1, August 20224.4, October 20217.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree licenses can be providedcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaC++
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Windows
Linux
macOS
Data schemeyesyesschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesnoyes
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.nonono infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersYes, compatible with all major SQL variants through dedicated BI/SQL Servernoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Javanoyes
Triggersyesnoyes infovia event handlersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersnoneImmediate Consistency in HA-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
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.yesnoyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per databasenoAccess rights for users and rolesnoyes
More information provided by the system vendor
GridDBmSQL infoMini SQLStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTranswarp KunDB
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
GridDBmSQL infoMini SQLStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTranswarp KunDB
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