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DBMS > LevelDB vs. RDF4J vs. RDFox vs. Yanza

System Properties Comparison LevelDB vs. RDF4J vs. RDFox vs. Yanza

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRDFox  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.High performance knowledge graph and semantic reasoning engineTime Series DBMS for IoT Applications
Primary database modelKey-value storeRDF storeGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitegithub.com/­google/­leveldbrdf4j.orgwww.oxfordsemantic.techyanza.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationdocs.oxfordsemantic.tech
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Oxford Semantic TechnologiesYanza
Initial release2011200420172015
Current release1.23, February 20216.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Windows
Windows
Data schemeschema-freeyes infoRDF Schemasyes infoRDF schemasschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API
SPARQL 1.1
HTTP API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
C
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnonoRoles, resources, and access typesno

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More resources
LevelDBRDF4J infoformerly known as SesameRDFoxYanza
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