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DBMS > Atos Standard Common Repository vs. KeyDB vs. Riak KV vs. SWC-DB

System Properties Comparison Atos Standard Common Repository vs. KeyDB vs. Riak KV vs. SWC-DB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKeyDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 networksAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDistributed, fault tolerant key-value storeA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Key-value store
Key-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#219  Overall
#31  Key-value stores
Score4.44
Rank#80  Overall
#9  Key-value stores
Score0.01
Rank#387  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.keydb.devwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAtos Convergence CreatorsEQ Alpha Technology Ltd.OpenSource, formerly Basho TechnologiesAlex Kashirin
Initial release2016201920092020
Current release17033.2.0, December 20220.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoApache version 2, commercial enterprise editionOpen Source infoGPL V3
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 languageJavaC++ErlangC++
Server operating systemsLinuxLinuxLinux
OS X
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalpartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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 infoby using the Redis Search modulerestricted
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsLDAPProprietary protocol infoRESP - REdis Serialization ProtocoHTTP API
Native Erlang Interface
Proprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Server-side scripts infoStored proceduresnoLuaErlangno
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Strong eventual consistency with CRDTs
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationsimple password-based access control and ACLyes, using Riak Security

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More resources
Atos Standard Common RepositoryKeyDBRiak KVSWC-DB infoSuper Wide Column Database
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