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DBMS > GBase vs. Microsoft Azure SQL Database vs. RDFox vs. Spark SQL

System Properties Comparison GBase vs. Microsoft Azure SQL Database vs. RDFox vs. Spark SQL

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Database as a Service offering with high compatibility to Microsoft SQL ServerHigh performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.gbase.cnazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oxfordsemantic.techspark.apache.org/­sql
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeneral Data Technology Co., Ltd.MicrosoftOxford Semantic TechnologiesApache Software Foundation
Initial release2004201020172014
Current releaseGBase 8a, GBase 8s, GBase 8cV126.0, Septermber 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++C++Scala
Server operating systemsLinuxhostedLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoRDF schemasyes
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.yesyesno
Secondary indexesyesyesno
SQL infoSupport of SQLStandard with numerous extensionsyesnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Supported programming languagesC#.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsTransact SQLno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availablereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardRoles, resources, and access typesno

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More resources
GBaseMicrosoft Azure SQL Database infoformerly SQL AzureRDFoxSpark SQL
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