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DBMS > Firebase Realtime Database vs. GraphDB vs. Stardog

System Properties Comparison Firebase Realtime Database vs. GraphDB vs. Stardog

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportSemantic graph DBMS, developed in Java
Primary database modelDocument storeGraph DBMS
RDF store
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.28
Rank#41  Overall
#7  Document stores
Score1.03
Rank#143  Overall
#10  Graph DBMS
#5  RDF stores
Score0.75
Rank#167  Overall
#12  Graph DBMS
#7  RDF stores
Websitefirebase.google.com/­products/­realtime-databasegraphdb.ontotext.comwww.stardog.com
Technical documentationfirebase.google.com/­docs/­databasegraphdb.ontotext.com/­documentationwww.stardog.com/­docs
DeveloperGoogle infoacquired by Google 2014OntotextComplexible Inc.
Initial release201220002010
Current release8.8, January 20194.2.4, March 2017
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-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.nonono infoImport/export of XML data possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLnoSPARQL is used as query languageSPARQL is used as query language
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
OWL
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'Java Server Pluginno
TriggersCallbacks are triggered when data changesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replication in HA-Cluster infousing Apache ZooKeeper
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, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoConstraint checkingyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes, based on authentication and database rulesyesAccess rights for users and roles
More information provided by the system vendor
Firebase Realtime DatabaseGraphDB infoformer name: OWLIMStardog
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual,...
» more
News

Semantic Search for Smart Data Discovery in the Pharma Industry
17 May 2019

Data, Databases and Deeds: A SPARQL Query to the Rescue
26 April 2019

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova
5 April 2019

Semantic Technology and the Way We See the World
15 March 2019

Telling Stories with an RDF Database
22 February 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Firebase Realtime DatabaseGraphDB infoformer name: OWLIMStardog
Recent citations in the news

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7 May 2019, VentureBeat

What's New in the Firebase Mobile Dev Platform
9 May 2019, ADT Magazine

Google expands ML Kit capabilities for building machine learning into mobile apps
7 May 2019, ZDNet

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6 May 2019, ProgrammableWeb

What's the point: Firebase, InfluxDB Cloud, Google Cloud TPU pods
8 May 2019, DevClass

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Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

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

Ontotext's GraphDB 8.7 Offers Vector-Based Concept Matching and Better Scalability, Performance and Data Governance
9 October 2018, PR Newswire

The Graph Database Poised To Pounce On The Mainstream
19 September 2018, The Next Platform

Graph databases and RDF: It's a family affair
19 May 2017, ZDNet

provided by Google News

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