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DBMS > CouchDB vs. Dragonfly vs. Firebase Realtime Database vs. Trafodion

System Properties Comparison CouchDB vs. Dragonfly vs. Firebase Realtime Database vs. Trafodion

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDragonfly  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Transactional SQL-on-Hadoop DBMS
Primary database modelDocument storeKey-value storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score14.29
Rank#39  Overall
#6  Document stores
Websitecouchdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
firebase.google.com/­products/­realtime-databasetrafodion.apache.org
Technical documentationdocs.couchdb.org/­en/­stablewww.dragonflydb.io/­docsfirebase.google.com/­docs/­databasetrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDragonflyDB team and community contributorsGoogle infoacquired by Google 2014Apache Software Foundation, originally developed by HP
Initial release2005202320122014
Current release3.3.3, December 20231.0, March 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSL 1.1commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++, Java
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
Data schemeschema-freescheme-freeschema-freeyes
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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 indexesyes infovia viewsnoyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocol infoRESP - REdis Serialization ProtocolAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
JavaScript
Objective-C
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresView functions in JavaScriptLualimited functionality with using 'rules'Java Stored Procedures
Triggersyespublish/subscribe channels provide some trigger functionalityCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleAtomic execution of command blocks and scriptsyesACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databasePassword-based authenticationyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DragonflyFirebase Realtime DatabaseTrafodion
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