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DBMS > Citus vs. DataFS vs. Microsoft Azure Synapse Analytics vs. Stardog

System Properties Comparison Citus vs. DataFS vs. Microsoft Azure Synapse Analytics vs. Stardog

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDataFS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.citusdata.comnewdatabase.comazure.microsoft.com/­services/­synapse-analyticswww.stardog.com
Technical documentationdocs.citusdata.comdev.mobiland.com/­Overview.xspdocs.microsoft.com/­azure/­synapse-analyticsdocs.stardog.com
DeveloperMobiland AGMicrosoftStardog-Union
Initial release2010201820162010
Current release8.1, December 20181.1.263, October 20227.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsLinuxWindowshostedLinux
macOS
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free and OWL/RDFS-schema support
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.yes infospecific XML type available, but no XML query functionalitynonono infoImport/export of XML data possible
Secondary indexesyesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
VB.Net
C#
Java
PHP
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Transact SQLuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesno, except callback-events from server when changes happenednoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-ProfileyesAccess rights for users and roles

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More resources
CitusDataFSMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseStardog
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