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DBMS > Firebase Realtime Database vs. Geode vs. RDF4J vs. Solr

System Properties Comparison Firebase Realtime Database vs. Geode vs. RDF4J vs. Solr

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeode  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSolr  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeKey-value storeRDF storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitefirebase.google.com/­products/­realtime-databasegeode.apache.orgrdf4j.orgsolr.apache.org
Technical documentationfirebase.google.com/­docs/­databasegeode.apache.org/­docsrdf4j.org/­documentationsolr.apache.org/­resources.html
DeveloperGoogle infoacquired by Google 2014Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation
Initial release2012200220042006
Current release1.1, February 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyes infoRDF Schemasyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language (OQL)noSolr Parallel SQL Interface
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functionsyesJava plugins
TriggersCallbacks are triggered when data changesyes infoCache Event Listenersyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodeACID infoIsolation support depends on the API usedoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
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 rulesAccess rights per client and object definablenoyes

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More resources
Firebase Realtime DatabaseGeodeRDF4J infoformerly known as SesameSolr
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