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DBMS > DolphinDB vs. Microsoft SQL Server vs. PostGIS

System Properties Comparison DolphinDB vs. Microsoft SQL Server vs. PostGIS

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostGIS  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.Microsofts flagship relational DBMSSpatial extension of PostgreSQL
Primary database modelTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.63
Rank#140  Overall
#9  Time Series DBMS
Score942.13
Rank#3  Overall
#3  Relational DBMS
Score30.88
Rank#28  Overall
#1  Spatial DBMS
Websitewww.dolphindb.comwww.microsoft.com/­en-us/­sql-serverpostgis.net
Technical documentationwww.dolphindb.com/­helpdocs.microsoft.com/­en-US/­sql/­sql-serverpostgis.net/­documentation
DeveloperDolphinDB, IncMicrosoft
Initial release201819892005
Current releasev2.00.4, January 2022SQL Server 2019, November 20193.2.1, February 2022
License infoCommercial or Open Sourcecommercial infofree community version availablecommercial inforestricted free version is availableOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C
Server operating systemsLinux
Windows
Linux
Windows
Data schemeyesyesyes
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Editionyes infobased on PostgreSQL
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 integritynoyesyes
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
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, Groupsfine grained access rights according to SQL-standardyes infobased on PostgreSQL

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DolphinDBMicrosoft SQL ServerPostGIS
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