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DBMS > CouchDB vs. Firebase Realtime Database vs. GigaSpaces

System Properties Comparison CouchDB vs. Firebase Realtime Database vs. GigaSpaces

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelDocument storeDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsSpatial DBMS infousing the Geocouch extensionGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.42
Rank#43  Overall
#7  Document stores
Score18.58
Rank#38  Overall
#6  Document stores
Score1.59
Rank#180  Overall
#30  Document stores
#8  Object oriented DBMS
Websitecouchdb.apache.orgfirebase.google.com/­products/­realtime-databasewww.gigaspaces.com
Technical documentationdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014Gigaspaces Technologies
Initial release200520122000
Current release3.3.2, April 202315.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava, C++, .Net
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes
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 infoXML can be used for describing objects metadata
Secondary indexesyes infovia viewsyesyes
SQL infoSupport of SQLnonoSQL-99 for query and DML statements
APIs and other access methodsRESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptlimited functionality with using 'rules'yes
TriggersyesCallbacks are triggered when data changesyes, event driven architecture
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
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleyesACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyes, based on authentication and database rulesRole-based access control

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime DatabaseGigaSpaces
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