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DBMS > GridGain vs. RDFox vs. Titan vs. Trafodion

System Properties Comparison GridGain vs. RDFox vs. Titan vs. Trafodion

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonRDFox  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHigh performance knowledge graph and semantic reasoning engineTitan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Relational DBMS
Graph DBMS
RDF store
Graph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.gridgain.comwww.oxfordsemantic.techgithub.com/­thinkaurelius/­titantrafodion.apache.org
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.oxfordsemantic.techgithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.html
DeveloperGridGain Systems, Inc.Oxford Semantic TechnologiesAurelius, owned by DataStaxApache Software Foundation, originally developed by HP
Initial release2007201720122014
Current releaseGridGain 8.5.16.0, Septermber 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license, version 2.0Open Source infoApache 2.0
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 languageJava, C++, .NetC++JavaC++, Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesyes infoRDF schemasyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
Java
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesJava Stored Procedures
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)replication via a shared file systemyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineyes 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 setupsEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsRoles, resources, and access typesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
GridGainRDFoxTitanTrafodion
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