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DBMS > Firebase Realtime Database vs. IRONdb vs. RDF4J vs. Riak TS

System Properties Comparison Firebase Realtime Database vs. IRONdb vs. RDF4J vs. Riak TS

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRiak TS  Xexclude from comparison
IRONdb seems to be discontinued. 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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument storeTime Series DBMSRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.07
Rank#38  Overall
#6  Document stores
Score0.72
Rank#234  Overall
#9  RDF stores
Score0.28
Rank#308  Overall
#27  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationfirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperGoogle infoacquired by Google 2014Circonus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Open Source, formerly Basho Technologies
Initial release2012201720042015
Current releaseV0.10.20, January 20183.0.0, September 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaErlang
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
Linux
OS X
Data schemeschema-freeschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesno
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 indexesyesnoyesrestricted
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)noyes, limited
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Native Erlang Interface
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes, in LuayesErlang
TriggersCallbacks are triggered when data changesnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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 per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoIsolation support depends on the API usedno
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.no
User concepts infoAccess controlyes, based on authentication and database rulesnonono

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More resources
Firebase Realtime DatabaseIRONdbRDF4J infoformerly known as SesameRiak TS
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