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DBMS > Atos Standard Common Repository vs. IRONdb vs. Linter vs. SWC-DB vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. IRONdb vs. Linter vs. SWC-DB vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIRONdb  Xexclude from comparisonLinter  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDBMS for high security requirementsA high performance, scalable Wide Column DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.circonus.com/solutions/time-series-database/linter.rugithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.circonus.com/irondb/category/getting-started
DeveloperAtos Convergence CreatorsCirconus LLC.relex.ruAlex KashirinTeradata
Initial release20162017199020202005
Current release1703V0.10.20, January 20180.5, April 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C and C++C++
Server operating systemsLinuxLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateoptionalyes infotext, numeric, histogramsyesyes
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.yesnononoyes infoin Aster File Store
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like query languageyes
APIs and other access methodsLDAPHTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes, in Luayes infoproprietary syntax with the possibility to convert from PL/SQLnoR packages
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic, metric affinity per nodenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 authenticationnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryIRONdbLinterSWC-DB infoSuper Wide Column DatabaseTeradata Aster
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