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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonRiak KV  Xexclude from comparisonSplice Machine  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 networksDistributed, fault tolerant key-value storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Key-value store
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.44
Rank#80  Overall
#9  Key-value stores
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorysplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestsplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsOpenSource, formerly Basho TechnologiesSplice MachineAlex Kashirin
Initial release2016200920142020
Current release17033.2.0, December 20223.1, March 20210.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoAGPL 3.0, commercial license availableOpen 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 languageJavaErlangJavaC++
Server operating systemsLinuxLinux
OS X
Linux
OS X
Solaris
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalnoyes
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.yesnono
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsLDAPHTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindingsC 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#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Server-side scripts infoStored proceduresnoErlangyes infoJavano
Triggersyesyes infopre-commit hooks and post-commit hooksyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infono "single point of failure"Shared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.yesyesno
User concepts infoAccess controlLDAP bind authenticationyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryRiak KVSplice MachineSWC-DB infoSuper Wide Column Database
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