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DBMS > CouchDB vs. LevelDB vs. PouchDB vs. SQLite

System Properties Comparison CouchDB vs. LevelDB vs. PouchDB vs. SQLite

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDBWidely used embeddable, in-process RDBMS
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
Score16.12
Rank#39  Overall
#6  Document stores
Score2.80
Rank#101  Overall
#18  Key-value stores
Score2.68
Rank#104  Overall
#18  Document stores
Score130.54
Rank#9  Overall
#6  Relational DBMS
Websitecouchdb.apache.orggithub.com/­google/­leveldbpouchdb.comwww.sqlite.org
Technical documentationdocs.couchdb.org/­en/­stablegithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdpouchdb.com/­guideswww.sqlite.org/­docs.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleApache Software FoundationDwayne Richard Hipp
Initial release2005201120122000
Current release3.1.1, September 20201.23 , February 20217.1.1, June 20193.36.0  (18 June 2021), June 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSDOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++JavaScriptC
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)server-less
Data schemeschema-freeschema-freeschema-freeyes infodynamic column types
Typing infopredefined data types such as float or datenononoyes infonot rigid because of 'dynamic typing' concept.
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 viewsnoyes infovia viewsyes
SQL infoSupport of SQLnononoyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIHTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptnoView functions in JavaScriptno
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0noneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenonoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasenonono

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