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DBMS > DolphinDB vs. OpenQM vs. OrigoDB

System Properties Comparison DolphinDB vs. OpenQM vs. OrigoDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparison
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.QpenQM is a high-performance, self-tuning, multi-value DBMSA fully ACID in-memory object graph database
Primary database modelTime Series DBMSMultivalue DBMSDocument store
Object oriented DBMS
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
#53  Document stores
#20  Object oriented DBMS
Websitewww.dolphindb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlorigodb.com/­docs
DeveloperDolphinDB, IncRocket Software, originally Martin PhillipsRobert Friberg et al
Initial release201819932009 infounder the name LiveDB
Current releasev2.00.4, January 20223.4-12
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPLv2, extended commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#
Server operating systemsLinux
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Data schemeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collections
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.noyesno infocan be achieved using .NET
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Server-side scripts infoStored proceduresyesyesyes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyeshorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead log
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, GroupsAccess rights can be defined down to the item levelRole based authorization

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