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DBMS > Firebase Realtime Database vs. GraphDB vs. TinkerGraph

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

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTinkerGraph  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-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument storeGraph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.35
Rank#38  Overall
#6  Document stores
Score2.75
Rank#118  Overall
#9  Graph DBMS
#5  RDF stores
Score0.07
Rank#359  Overall
#34  Graph DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.ontotext.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationfirebase.google.com/­docs/­databasegraphdb.ontotext.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperGoogle infoacquired by Google 2014Ontotext
Initial release201220002009
Current release10.4, October 2023
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-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
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
TinkerPop 3
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'well-defined plugin interfaces; JavaScript server-side extensibilityno
TriggersCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone
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)none
Foreign keys infoReferential integritynoyes infoConstraint checkingyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesno
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.yes
User concepts infoAccess controlyes, based on authentication and database rulesDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.no
More information provided by the system vendor
Firebase Realtime DatabaseGraphDB infoformer name: OWLIMTinkerGraph
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» 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 data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
News

Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies
21 February 2024

GraphDB Cluster Deployment Strategies
21 February 2024

Common English Entity Linking: Linking Text to Knowledge Quickly and Efficiently
16 February 2024

Why You’re Not Ready for Knowledge Graphs!
14 February 2024

Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity
12 February 2024

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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: OWLIMTinkerGraph
DB-Engines blog posts

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Automated testing of Amazon Neptune data access with Apache TinkerPop Gremlin | Amazon Web Services
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Simple Deployment of a Graph Database: JanusGraph | by Edward Elson Kosasih
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Why developers like Apache TinkerPop, an open source framework for graph computing | Amazon Web Services
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