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DBMS > Cachelot.io vs. DolphinDB vs. PostGIS vs. SiteWhere

System Properties Comparison Cachelot.io vs. DolphinDB vs. PostGIS vs. SiteWhere

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDolphinDB  Xexclude from comparisonPostGIS  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionIn-memory caching systemDolphinDB 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 PostgreSQLM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeTime Series DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitecachelot.iowww.dolphindb.compostgis.netgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlpostgis.net/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperDolphinDB, IncSiteWhere
Initial release2015201820052010
Current releasev2.00.4, January 20223.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercial infofree community version availableOpen Source infoGPL v2.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++CJava
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsMemcached protocolJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP REST
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyes infobased on PostgreSQLSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infobased on PostgreSQLselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnoAdministrators, Users, Groupsyes infobased on PostgreSQLUsers with fine-grained authorization concept

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More resources
Cachelot.ioDolphinDBPostGISSiteWhere
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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