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DBMS > Firebase Realtime Database vs. Hazelcast vs. Interbase vs. Linter vs. RDF4J

System Properties Comparison Firebase Realtime Database vs. Hazelcast vs. Interbase vs. Linter vs. RDF4J

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonInterbase  Xexclude from comparisonLinter  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.A widely adopted in-memory data gridLight-weight proven RDBMS infooriginally from BorlandRDBMS for high security requirementsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMSRDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitefirebase.google.com/­products/­realtime-databasehazelcast.comwww.embarcadero.com/­products/­interbaselinter.rurdf4j.org
Technical documentationfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docsdocs.embarcadero.com/­products/­interbaserdf4j.org/­documentation
DeveloperGoogle infoacquired by Google 2014HazelcastEmbarcaderorelex.ruSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122008198419902004
Current release5.3.6, November 2023InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++Java
Server operating systemshostedAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infothe object must implement a serialization strategyno infoexport as XML data possibleno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
PHP
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesyes infoInterbase procedure and trigger languageyes infoproprietary syntax with the possibility to convert from PL/SQLyes
TriggersCallbacks are triggered when data changesyes infoEventsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapInterbase Change ViewsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
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 or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Firebase Realtime DatabaseHazelcastInterbaseLinterRDF4J infoformerly known as Sesame
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