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DBMS > Microsoft SQL Server vs. RDF4J

System Properties Comparison Microsoft SQL Server vs. RDF4J

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMicrosofts relational DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRDF store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1087.76
Rank#3  Overall
#3  Relational DBMS
Score0.37
Rank#219  Overall
#10  RDF stores
Websitewww.microsoft.com/­en-us/­sql-serverrdf4j.org
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationdocs.rdf4j.org
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release19892004
Current releaseSQL Server 2017, October 2017
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLyesno
APIs and other access methodsOLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
PHP
Python
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

More information provided by the system vendor

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Related products and services
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More resources
Microsoft SQL ServerRDF4J infoformerly known as Sesame
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Conferences and events

PASS Summit 2019
Seattle, Washington, USA, 5-8 November 2019

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