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DBMS > DolphinDB vs. GBase vs. GridDB vs. JSqlDb vs. Kingbase

System Properties Comparison DolphinDB vs. GBase vs. GridDB vs. JSqlDb vs. Kingbase

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGBase  Xexclude from comparisonGridDB  Xexclude from comparisonJSqlDb  Xexclude from comparisonKingbase  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Scalable in-memory time series database optimized for IoT and Big DataJavaScript Query Language Database, stores JavaScript objects and primitivesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsRelational DBMSKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websitewww.dolphindb.comwww.gbase.cngriddb.netjsqldb.org (offline)www.kingbase.com.cn
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.griddb.net
DeveloperDolphinDB, IncGeneral Data Technology Co., Ltd.Toshiba CorporationKonrad von BackstromBeiJing KINGBASE Information technologies inc.
Initial release20182004201320181999
Current releasev2.00.4, January 2022GBase 8a, GBase 8s, GBase 8c5.1, August 20220.8, December 2018V8.0, August 2021
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonC++C and Java
Server operating systemsLinux
Windows
LinuxLinuxLinux
macOS
Windows
Linux
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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.noyesnonoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsSQL92, SQL-like TQL (Toshiba Query Language)noStandard with numerous extensions
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsnofunctions in JavaScriptuser defined functions
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingnonehorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector 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 ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAdministrators, Users, GroupsyesAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
DolphinDBGBaseGridDBJSqlDbKingbase
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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DolphinDBGBaseGridDBJSqlDbKingbase
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