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DBMS > Atos Standard Common Repository vs. CouchDB vs. Dragonfly vs. etcd

System Properties Comparison Atos Standard Common Repository vs. CouchDB vs. Dragonfly vs. etcd

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDragonfly  Xexclude from comparisonetcd  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA distributed reliable key-value store
Primary database modelDocument store
Key-value store
Document storeKey-value storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycouchdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
etcd.io
github.com/­etcd-io/­etcd
Technical documentationdocs.couchdb.org/­en/­stablewww.dragonflydb.io/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDragonflyDB team and community contributors
Initial release201620052023
Current release17033.3.3, December 20231.0, March 20233.4, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoBSL 1.1Open Source infoApache Version 2.0
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 languageJavaErlangC++Go
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
Windows infoexperimental
Data schemeSchema and schema-less with LDAP viewsschema-freescheme-freeschema-free
Typing infopredefined data types such as float or dateoptionalnostrings, hashes, lists, sets, sorted sets, bit arraysno
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.yesnonono
Secondary indexesyesyes infovia viewsnono
SQL infoSupport of SQLnononono
APIs and other access methodsLDAPRESTful HTTP/JSON APIProprietary protocol infoRESP - REdis Serialization ProtocolgRPC
JSON over HTTP
Supported programming languagesAll languages with LDAP bindingsC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresnoView functions in JavaScriptLuano
Triggersyesyespublish/subscribe channels provide some trigger functionalityyes, watching key changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoatomic operations within a single document possibleAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes, strict serializability by the serveryes
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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databasePassword-based authenticationno

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