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DBMS > CouchDB vs. DataFS vs. etcd vs. H2 vs. SWC-DB

System Properties Comparison CouchDB vs. DataFS vs. etcd vs. H2 vs. SWC-DB

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDataFS  Xexclude from comparisonetcd  Xexclude from comparisonH2  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.All 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.A distributed reliable key-value storeFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, scalable Wide Column DBMS
Primary database modelDocument storeObject oriented DBMSKey-value storeRelational DBMSWide column store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionGraph DBMSSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitecouchdb.apache.orgnewdatabase.cometcd.io
github.com/­etcd-io/­etcd
www.h2database.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.couchdb.org/­en/­stabledev.mobiland.com/­Overview.xspetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMobiland AGThomas MuellerAlex Kashirin
Initial release2005201820052020
Current release3.3.3, December 20231.1.263, October 20223.4, August 20192.2.220, July 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangGoJavaC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
WindowsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyes
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.nonononono
Secondary indexesyes infovia viewsnonoyes
SQL infoSupport of SQLnononoyesSQL-like query language
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
Proprietary client DLL
WinRT client
gRPC
JSON over HTTP
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
VB.Net
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC++
Server-side scripts infoStored proceduresView functions in JavaScriptnoJava Stored Procedures and User-Defined Functionsno
Triggersyesno, except callback-events from server when changes happenedyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Proprietary Sharding systemnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseWindows-Profilenofine grained access rights according to SQL-standard

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DataFSetcdH2SWC-DB infoSuper Wide Column Database
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