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DBMS > DolphinDB vs. PostGIS vs. ReductStore vs. SiteWhere

System Properties Comparison DolphinDB vs. PostGIS vs. ReductStore vs. SiteWhere

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonPostGIS  Xexclude from comparisonReductStore  Xexclude from comparisonSiteWhere  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.Spatial extension of PostgreSQLDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.M2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSSpatial DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.dolphindb.compostgis.netgithub.com/­reductstore
www.reduct.store
github.com/­sitewhere/­sitewhere
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlpostgis.net/­documentationwww.reduct.store/­docssitewhere1.sitewhere.io/­index.html
DeveloperDolphinDB, IncReductStore LLCSiteWhere
Initial release2018200520232010
Current releasev2.00.4, January 20223.4.2, February 20241.9, March 2024
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPL v2.0Open Source infoBusiness Source License 1.1Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++, RustJava
Server operating systemsLinux
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP APIHTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesuser defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infobased on PostgreSQLSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAdministrators, Users, Groupsyes infobased on PostgreSQLUsers with fine-grained authorization concept

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More resources
DolphinDBPostGISReductStoreSiteWhere
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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