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DBMS > Druid vs. Microsoft SQL Server vs. RDF4J

System Properties Comparison Druid vs. Microsoft SQL Server vs. RDF4J

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataMicrosofts relational DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRDF store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#119  Overall
#57  Relational DBMS
#8  Time Series DBMS
Score1062.76
Rank#3  Overall
#3  Relational DBMS
Score0.55
Rank#219  Overall
#9  RDF stores
Websitedruid.apache.orgwww.microsoft.com/­en-us/­sql-serverrdf4j.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationrdf4j.org/­documentation
DeveloperMetamarkets Group and contributorsMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201219892004
Current releaseSQL Server 2019, November 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedyesyes infoRDF Schemas
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapteryesno
APIs and other access methodsJSON over HTTPADO.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
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
PHP
Python
Server-side scripts infoStored proceduresnoTransact 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 nodesyes, via HDFS, S3 or other storage enginesyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID 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.noyes
User concepts infoAccess controlno infoavailable via extensionsfine grained access rights according to SQL-standardno

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More resources
DruidMicrosoft SQL ServerRDF4J infoformerly known as Sesame
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