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

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

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigris  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWell established RDBMSHigh performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processingA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitewww.actian.com/­databases/­ingreswww.oxfordsemantic.techspark.apache.org/­sqlwww.tigrisdata.comtrafodion.apache.org
Technical documentationdocs.actian.com/­ingresdocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tigrisdata.com/­docstrafodion.apache.org/­documentation.html
DeveloperActian CorporationOxford Semantic TechnologiesApache Software FoundationTigris Data, Inc.Apache Software Foundation, originally developed by HP
Initial release1974 infooriginally developed at University Berkely in early 1970s2017201420222014
Current release11.2, May 20226.0, Septermber 20223.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 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 systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Linux
Data schemeyesyes infoRDF schemasyesyesyes
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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsnoyes
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnonoJava Stored Procedures
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatorreplication via a shared file systemnoneyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRoles, resources, and access typesnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
IngresRDFoxSpark SQLTigrisTrafodion
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