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DBMS > DolphinDB vs. NSDb vs. OrigoDB vs. TempoIQ

System Properties Comparison DolphinDB vs. NSDb vs. OrigoDB vs. TempoIQ

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed 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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelTime Series DBMS
Vector DBMS
Time Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitewww.dolphindb.comnsdb.ioorigodb.comtempoiq.com (offline)
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlnsdb.io/­Architectureorigodb.com/­docs
DeveloperDolphinDB, IncRobert Friberg et alTempoIQ
Initial release201820172009 infounder the name LiveDB2012
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ScalaC#
Server operating systemsLinux
Windows
Linux
macOS
Linux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesall fields are automatically indexedyes
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
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
Scala
.NetC#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesno
Triggersnoyes infoDomain Eventsyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAdministrators, Users, GroupsRole based authorizationsimple authentication-based access control

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