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DBMS > DolphinDB vs. Linter vs. PostGIS vs. Prometheus

System Properties Comparison DolphinDB vs. Linter vs. PostGIS vs. Prometheus

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonLinter  Xexclude from comparisonPostGIS  Xexclude from comparisonPrometheus  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.RDBMS for high security requirementsSpatial extension of PostgreSQLOpen-source Time Series DBMS and monitoring system
Primary database modelTime Series DBMSRelational DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score0.10
Rank#350  Overall
#153  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websitewww.dolphindb.comlinter.rupostgis.netprometheus.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlpostgis.net/­documentationprometheus.io/­docs
DeveloperDolphinDB, Increlex.ru
Initial release2018199020052015
Current releasev2.00.4, January 20223.4.2, February 2024
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoGPL v2.0Open Source infoApache 2.0
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 and C++CGo
Server operating systemsLinux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infobased on PostgreSQLyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardyes infobased on PostgreSQLno

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More resources
DolphinDBLinterPostGISPrometheus
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