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DBMS > GridGain vs. RDFox vs. ReductStore vs. TinkerGraph

System Properties Comparison GridGain vs. RDFox vs. ReductStore vs. TinkerGraph

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonRDFox  Xexclude from comparisonReductStore  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHigh performance knowledge graph and semantic reasoning engineDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Graph DBMS
RDF store
Time Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.gridgain.comwww.oxfordsemantic.techgithub.com/­reductstore
www.reduct.store
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.oxfordsemantic.techwww.reduct.store/­docs
DeveloperGridGain Systems, Inc.Oxford Semantic TechnologiesReductStore LLC
Initial release2007201720232009
Current releaseGridGain 8.5.16.0, Septermber 20221.9, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBusiness Source License 1.1Open 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++C++, RustJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Data schemeyesyes infoRDF schemasschema-free
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
SPARQL 1.1
HTTP APITinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
Java
C++
JavaScript (Node.js)
Python
Rust
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)replication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsnone
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesno
Durability infoSupport for making data persistentyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRoles, resources, and access typesno

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More resources
GridGainRDFoxReductStoreTinkerGraph
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