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DBMS > Microsoft Azure Table Storage vs. RavenDB vs. RDF4J

System Properties Comparison Microsoft Azure Table Storage vs. RavenDB vs. RDF4J

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeDocument storeRDF store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.86
Rank#65  Overall
#5  Wide column stores
Score3.82
Rank#78  Overall
#13  Document stores
Score0.39
Rank#223  Overall
#11  RDF stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesravendb.netrdf4j.org
Technical documentationravendb.net/­docsdocs.rdf4j.org
DeveloperMicrosoftHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201220102004
Current release4.2, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Java
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyes
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.no
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)no
APIs and other access methodsRESTful HTTP API.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in Linqno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID, Cluster-wide transaction availableACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.no
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesAccess control on document level using the Authorization Bundleno

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More resources
Microsoft Azure Table StorageRavenDBRDF4J infoformerly known as Sesame
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