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DBMS > Atos Standard Common Repository vs. CouchDB vs. Datomic vs. OrigoDB

System Properties Comparison Atos Standard Common Repository vs. CouchDB vs. Datomic vs. OrigoDB

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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 comparisonDatomic  Xexclude from comparisonOrigoDB  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fully ACID in-memory object graph database
Primary database modelDocument store
Key-value store
Document storeRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycouchdb.apache.orgwww.datomic.comorigodb.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.datomic.comorigodb.com/­docs
DeveloperAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectRobert Friberg et al
Initial release2016200520122009 infounder the name LiveDB
Current release17033.3.3, December 20231.0.6735, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJava, ClojureC#
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnoyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsLDAPRESTful HTTP/JSON APIRESTful HTTP API.NET Client API
HTTP API
LINQ
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
Clojure
Java
.Net
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes infoTransaction Functionsyes
TriggersyesyesBy using transaction functionsyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peershorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databasenoRole based authorization

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More resources
Atos Standard Common RepositoryCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicOrigoDB
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