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DBMS > DataFS vs. Ingres vs. RDFox vs. Spark SQL vs. Trafodion

System Properties Comparison DataFS vs. Ingres vs. RDFox vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonIngres  Xexclude from comparisonRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAll 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.Well established RDBMSHigh performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelObject oriented DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitenewdatabase.comwww.actian.com/­databases/­ingreswww.oxfordsemantic.techspark.apache.org/­sqltrafodion.apache.org
Technical documentationdev.mobiland.com/­Overview.xspdocs.actian.com/­ingresdocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperMobiland AGActian CorporationOxford Semantic TechnologiesApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20181974 infooriginally developed at University Berkely in early 1970s201720142014
Current release1.1.263, October 202211.2, May 20226.0, Septermber 20223.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ScalaC++, Java
Server operating systemsWindowsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
C
Java
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnoJava Stored Procedures
Triggersno, except callback-events from server when changes happenedyesnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatorreplication via a shared file systemnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardRoles, resources, and access typesnofine grained access rights according to SQL-standard

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More resources
DataFSIngresRDFoxSpark SQLTrafodion
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