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DBMS > Amazon Aurora vs. Firebase Realtime Database vs. GeoSpock vs. RDF4J

System Properties Comparison Amazon Aurora vs. Firebase Realtime Database vs. GeoSpock vs. RDF4J

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spatial and temporal data processing engine for extreme data scaleRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSDocument storeRelational DBMSRDF store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­rds/­aurorafirebase.google.com/­products/­realtime-databasegeospock.comrdf4j.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlfirebase.google.com/­docs/­databaserdf4j.org/­documentation
DeveloperAmazonGoogle infoacquired by Google 2014GeoSpockSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201520122004
Current release2.0, September 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJava
Server operating systemshostedhostedhostedLinux
OS X
Unix
Windows
Data schemeyesschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLyesnoANSI SQL for query only (using Presto)no
APIs and other access methodsADO.NET
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBCJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
JavaScript
Objective-C
Java
PHP
Python
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'noyes
TriggersyesCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights for users can be defined per tableno

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More resources
Amazon AuroraFirebase Realtime DatabaseGeoSpockRDF4J infoformerly known as Sesame
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