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DBMS > Firebase Realtime Database vs. PlanetScale vs. RDF4J vs. Trafodion

System Properties Comparison Firebase Realtime Database vs. PlanetScale vs. RDF4J vs. Trafodion

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonPlanetScale  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable, distributed, serverless MySQL database platform built on top of VitessRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Transactional SQL-on-Hadoop DBMS
Primary database modelDocument storeRelational DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitefirebase.google.com/­products/­realtime-databaseplanetscale.comrdf4j.orgtrafodion.apache.org
Technical documentationfirebase.google.com/­docs/­databaseplanetscale.com/­docsrdf4j.org/­documentationtrafodion.apache.org/­documentation.html
DeveloperGoogle infoacquired by Google 2014PlanetScaleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation, originally developed by HP
Initial release2012202020042014
Current release2.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++, Java
Server operating systemshostedDocker
Linux
macOS
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyes infoRDF Schemasyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoproprietary syntaxyesJava Stored Procedures
TriggersCallbacks are triggered when data changesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at shard levelACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yesno
User concepts infoAccess controlyes, based on authentication and database rulesUsers with fine-grained authorization concept infono user groups or rolesnofine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabasePlanetScaleRDF4J infoformerly known as SesameTrafodion
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