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DBMS > Firebase Realtime Database vs. Graphite vs. IBM Db2 Event Store vs. jBASE vs. RDF4J

System Properties Comparison Firebase Realtime Database vs. Graphite vs. IBM Db2 Event Store vs. jBASE vs. RDF4J

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonjBASE  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperDistributed Event Store optimized for Internet of Things use casesA robust multi-value DBMS comprising development tools and middlewareRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeTime Series DBMSEvent Store
Time Series DBMS
Multivalue DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2-event-storewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaserdf4j.org
Technical documentationfirebase.google.com/­docs/­databasegraphite.readthedocs.iowww.ibm.com/­docs/­en/­db2-event-storedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9rdf4j.org/­documentation
DeveloperGoogle infoacquired by Google 2014Chris DavisIBMRocket Software (formerly Zumasys)Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122006201719912004
Current release2.05.7
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen 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 languagePythonC and C++Java
Server operating systemshostedLinux
Unix
Linux infoLinux, macOS, Windows for the developer additionAIX
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesNumeric data onlyyesoptionalyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeEmbedded SQL for jBASE in BASICno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
JavaScript
Objective-C
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Basic
Jabbascript
Java
Java
PHP
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesyesyes
TriggersCallbacks are triggered when data changesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
noneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes 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 rulesnofine grained access rights according to SQL-standardAccess rights can be defined down to the item levelno

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More resources
Firebase Realtime DatabaseGraphiteIBM Db2 Event StorejBASERDF4J infoformerly known as Sesame
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