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DBMS > DolphinDB vs. GBase vs. Hyprcubd vs. Tkrzw

System Properties Comparison DolphinDB vs. GBase vs. Hyprcubd vs. Tkrzw

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGBase  Xexclude from comparisonHyprcubd  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Hyprcubd 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.Serverless Time Series DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational 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
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.dolphindb.comwww.gbase.cnhyprcubd.com (offline)dbmx.net/­tkrzw
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperDolphinDB, IncGeneral Data Technology Co., Ltd.Hyprcubd, Inc.Mikio Hirabayashi
Initial release201820042020
Current releasev2.00.4, January 2022GBase 8a, GBase 8s, GBase 8c0.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonGoC++
Server operating systemsLinux
Windows
LinuxhostedLinux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringno
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.noyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsSQL-like query languageno
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
gRPC (https)
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.yesnoyes infousing specific database classes
User concepts infoAccess controlAdministrators, Users, Groupsyestoken accessno

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