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DBMS > Microsoft Azure SQL Database vs. RDF4J vs. Stardog vs. VictoriaMetrics

System Properties Comparison Microsoft Azure SQL Database vs. RDF4J vs. Stardog vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonStardog  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRDF storeGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score1.42
Rank#161  Overall
#14  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databaserdf4j.orgwww.stardog.comvictoriametrics.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlrdf4j.org/­documentationdocs.stardog.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Stardog-UnionVictoriaMetrics
Initial release2010200420102018
Current releaseV127.3.0, May 2020v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaGo
Server operating systemshostedLinux
OS X
Unix
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes infoRDF Schemasschema-free and OWL/RDFS-schema support
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.yesno infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
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
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresTransact SQLyesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availablenoneMulti-source replication in HA-ClusterSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterEventual Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureRDF4J infoformerly known as SesameStardogVictoriaMetrics
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