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DBMS > Google Cloud Firestore vs. RDF4J

System Properties Comparison Google Cloud Firestore vs. RDF4J

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Our visitors often compare Google Cloud Firestore and RDF4J with Neo4j, Microsoft Azure Cosmos DB and MongoDB.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.30
Rank#65  Overall
#11  Document stores
Score0.39
Rank#217  Overall
#11  RDF stores
Websitefirebase.google.com/­products/­firestorerdf4j.org
Technical documentationfirebase.google.com/­docs/­firestoredocs.rdf4j.org
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20172004
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
Data schemeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLnono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes
Triggersyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as well
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Google Cloud FirestoreRDF4J infoformerly known as Sesame
Recent citations in the news

Google debuts new Cloud Storage archive class for long-term data retention
10 April 2019, VentureBeat

Google’s Cloud Firestore NoSQL database hits general availability
31 January 2019, TechCrunch

Google Launches Cloud Firestore, a Serverless NoSQL Database
31 January 2019, ADT Magazine

On the verge of Next '19, Google must double down on cloud applications
1 April 2019, SiliconANGLE News

Google Cloud Firestore, the serverless, NoSQL document database, is now generally available
1 February 2019, Packt Hub

provided by Google News

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

provided by Google News

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