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DBMS > Atos Standard Common Repository vs. CouchDB vs. etcd vs. Google Cloud Bigtable

System Properties Comparison Atos Standard Common Repository vs. CouchDB vs. etcd vs. Google Cloud Bigtable

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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 comparisonetcd  Xexclude from comparisonGoogle Cloud Bigtable  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 distributed reliable key-value storeGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument store
Key-value store
Document storeKey-value storeKey-value store
Wide column store
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
Score7.25
Rank#54  Overall
#5  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycouchdb.apache.orgetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­bigtable
Technical documentationdocs.couchdb.org/­en/­stableetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­bigtable/­docs
DeveloperAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle
Initial release201620052015
Current release17033.3.3, December 20233.4, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangGo
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
Windows infoexperimental
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalnonono
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 APIgRPC
JSON over HTTP
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
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
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptnono
Triggersyesyesyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Internal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
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 possiblenoAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.yesnonono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databasenoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Atos Standard Common RepositoryCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"etcdGoogle Cloud Bigtable
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