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DBMS > IBM Db2 Event Store vs. Microsoft SQL Server vs. RDF4J vs. RDFox

System Properties Comparison IBM Db2 Event Store vs. Microsoft SQL Server vs. RDF4J vs. RDFox

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesMicrosofts flagship relational DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.High performance knowledge graph and semantic reasoning engine
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRDF storeGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websitewww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­sql-serverrdf4j.orgwww.oxfordsemantic.tech
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storelearn.microsoft.com/­en-US/­sql/­sql-serverrdf4j.org/­documentationdocs.oxfordsemantic.tech
DeveloperIBMMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Oxford Semantic Technologies
Initial release2017198920042017
Current release2.0SQL Server 2022, November 20226.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++JavaC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Windows
Data schemeyesyesyes infoRDF Schemasyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesnono
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
PHP
Python
C
Java
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes, but depending on the SQL-Server Editionnonereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoRoles, resources, and access types

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More resources
IBM Db2 Event StoreMicrosoft SQL ServerRDF4J infoformerly known as SesameRDFox
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