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DBMS > CouchDB vs. Google Cloud Datastore vs. LevelDB vs. PouchDB

System Properties Comparison CouchDB vs. Google Cloud Datastore vs. LevelDB vs. PouchDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument storeKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.37
Rank#34  Overall
#5  Document stores
Score4.81
Rank#67  Overall
#12  Document stores
Score2.86
Rank#89  Overall
#15  Key-value stores
Score2.97
Rank#88  Overall
#16  Document stores
Websitecouchdb.apache.orgcloud.google.com/­datastoregithub.com/­google/­leveldbpouchdb.com
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­datastore/­docsgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdpouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleGoogleApache Software Foundation
Initial release2005200820112012
Current release2.3.1, March 20191.22, May 20197.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++JavaScript
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes, details herenono
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 viewsyesnoyes infovia views
SQL infoSupport of SQLnoSQL-like query language (GQL)nono
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Go
Java infoThird party binding
Node.js infoThird party binding
Python infoThird party binding
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
JavaScript
Server-side scripts infoStored proceduresView functions in JavaScriptusing Google App EnginenoView functions in JavaScript
TriggersyesCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Multi-Master replication using PaxosnoneMaster-master replication infoalso with CouchDB databases
Master-slave replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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