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DBMS > CouchDB vs. DataFS vs. Fujitsu Enterprise Postgres vs. SWC-DB

System Properties Comparison CouchDB vs. DataFS vs. Fujitsu Enterprise Postgres vs. SWC-DB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDataFS  Xexclude from comparisonFujitsu Enterprise Postgres  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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A high performance, scalable Wide Column DBMS
Primary database modelDocument storeObject oriented DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionGraph DBMSDocument store
Spatial DBMS
Time 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitecouchdb.apache.orgnewdatabase.comwww.postgresql.fastware.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.couchdb.org/­en/­stabledev.mobiland.com/­Overview.xspwww.postgresql.fastware.com/­product-manuals
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMobiland AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyAlex Kashirin
Initial release200520182020
Current release3.3.3, December 20231.1.263, October 2022Fujitsu Enterprise Postgres 14, January 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangCC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
WindowsLinux
Windows
Linux
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-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
Secondary indexesyes infovia viewsnoyes
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functionsno
Triggersyesno, except callback-events from server when changes happenedyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Proprietary Sharding systempartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)yes
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.nonono
User concepts infoAccess controlAccess rights for users can be defined per databaseWindows-Profilefine grained access rights according to SQL-standard
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DataFSFujitsu Enterprise PostgresSWC-DB infoSuper Wide Column Database
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
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Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
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Licensing and pricing modelsCore based licensing
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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DataFSFujitsu Enterprise PostgresSWC-DB infoSuper Wide Column Database
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