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DBMS > Firebase Realtime Database vs. RDF4J vs. Yanza

System Properties Comparison Firebase Realtime Database vs. RDF4J vs. Yanza

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS for IoT Applications
Primary database modelDocument storeRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.07
Rank#38  Overall
#6  Document stores
Score0.72
Rank#234  Overall
#9  RDF stores
Websitefirebase.google.com/­products/­realtime-databaserdf4j.orgyanza.com
Technical documentationfirebase.google.com/­docs/­databaserdf4j.org/­documentation
DeveloperGoogle infoacquired by Google 2014Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yanza
Initial release201220042015
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
Windows
Data schemeschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesno
TriggersCallbacks are triggered when data changesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
User concepts infoAccess controlyes, based on authentication and database rulesnono

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More resources
Firebase Realtime DatabaseRDF4J infoformerly known as SesameYanza
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
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