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DBMS > Microsoft Azure SQL Data Warehouse vs. RDF4J

System Properties Comparison Microsoft Azure SQL Data Warehouse vs. RDF4J

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.77
Rank#43  Overall
#26  Relational DBMS
Score0.39
Rank#217  Overall
#11  RDF stores
Websiteazure.microsoft.com/­services/­sql-data-warehouserdf4j.org
Technical documentationdocs.microsoft.com/­azure/­sql-data-warehousedocs.rdf4j.org
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162004
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedLinux
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyesno
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresTransact SQLyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
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
User concepts infoAccess controlyesno

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More resources
Microsoft Azure SQL Data WarehouseRDF4J infoformerly known as Sesame
DB-Engines blog posts

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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Recent citations in the news

Azure Review: Government transformation; Video Indexer; Blob storage; SQL Data Warehouse; Azure Stack
3 April 2019, MSDynamicsWorld.com

Cloud Data Warehouse Performance Testing
9 April 2019, Gigaom

Google Cloud Next postmortem: Thomas Kurian wants the right people
15 April 2019, ZDNet

Azure SQL Data Warehouse: New Features and New Benchmark
7 March 2019, Redmondmag.com

Microsoft speeds up its Azure SQL Data Warehouse
12 July 2018, TechCrunch

provided by Google News

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10 April 2019, PRNewswire

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