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DBMS > RDFox vs. Spark SQL vs. Transwarp StellarDB vs. Yaacomo

System Properties Comparison RDFox vs. Spark SQL vs. Transwarp StellarDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHigh performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processingA distributed graph DBMS built for enterprise-level graph applicationsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.oxfordsemantic.techspark.apache.org/­sqlwww.transwarp.cn/­en/­product/­stellardbyaacomo.com
Technical documentationdocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOxford Semantic TechnologiesApache Software FoundationTranswarpQ2WEB GmbH
Initial release201720142009
Current release6.0, Septermber 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Scala
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyes infoRDF schemasyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
JDBC
ODBC
OpenCypherJDBC
ODBC
Supported programming languagesC
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesnoyes
User concepts infoAccess controlRoles, resources, and access typesnoyesfine grained access rights according to SQL-standard

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More resources
RDFoxSpark SQLTranswarp StellarDBYaacomo
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