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DBMS > Atos Standard Common Repository vs. ITTIA vs. Riak TS vs. SingleStore

System Properties Comparison Atos Standard Common Repository vs. ITTIA vs. Riak TS vs. SingleStore

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonITTIA  Xexclude from comparisonRiak TS  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 networksEdge Time Series DBMS with Real-Time Stream ProcessingRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ittia.comwww.singlestore.com
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.singlestore.com
DeveloperAtos Convergence CreatorsITTIA L.L.C.Open Source, formerly Basho TechnologiesSingleStore Inc.
Initial release2016200720152013
Current release17038.73.0.0, September 20228.5, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infofree developer edition available
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 and C++ErlangC++, Go
Server operating systemsLinuxLinux
Windows
Linux
OS X
Linux info64 bit version required
Data schemeSchema and schema-less with LDAP viewsFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateoptionalFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalnoyes
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 indexesyesyesrestrictedyes
SQL infoSupport of SQLnoyesyes, limitedyes infobut no triggers and foreign keys
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
WebSocket
HTTP API
Native Erlang Interface
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C++
JavaScript (Node.js)
Python
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
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesErlangyes
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationDatabase file passwordsnoFine grained access control via users, groups and roles

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More resources
Atos Standard Common RepositoryITTIARiak TSSingleStore infoformer name was MemSQL
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