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DBMS > DolphinDB vs. Hyprcubd vs. OpenQM vs. Tkrzw

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

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonOpenQM infoalso called QM  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.Serverless Time Series DBMSQpenQM is a high-performance, self-tuning, multi-value 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 DBMSTime Series DBMSMultivalue 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
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.dolphindb.comhyprcubd.com (offline)www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmdbmx.net/­tkrzw
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperDolphinDB, IncHyprcubd, Inc.Rocket Software, originally Martin PhillipsMikio Hirabayashi
Initial release201819932020
Current releasev2.00.4, January 20223.4-120.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC++
Server operating systemsLinux
Windows
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Data schemeyesyesyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyesyes 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.nonoyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (https)
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Basic
C
Java
Objective C
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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, Groupstoken accessAccess rights can be defined down to the item levelno

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