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DBMS > DataFS vs. Firebase Realtime Database vs. IBM Cloudant vs. Quasardb

System Properties Comparison DataFS vs. Firebase Realtime Database vs. IBM Cloudant vs. Quasardb

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Database as a Service offering based on Apache CouchDBDistributed, high-performance timeseries database
Primary database modelObject oriented DBMSDocument storeDocument storeTime Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score2.85
Rank#95  Overall
#18  Document stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitenewdatabase.comfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­cloudantquasar.ai
Technical documentationdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­databasecloud.ibm.com/­docs/­Cloudantdoc.quasar.ai/­master
DeveloperMobiland AGGoogle infoacquired by Google 2014IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014quasardb
Initial release2018201220102009
Current release1.1.263, October 20223.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++
Server operating systemsWindowshostedhostedBSD
Linux
OS X
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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.nononono
Secondary indexesnoyesyesyes infowith tags
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIHTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
Java
JavaScript
Objective-C
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored procedureslimited functionality with using 'rules'View functions (Map-Reduce) in JavaScriptno
Triggersno, except callback-events from server when changes happenedCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlWindows-Profileyes, based on authentication and database rulesAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trail

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More resources
DataFSFirebase Realtime DatabaseIBM CloudantQuasardb
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