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DBMS > Atos Standard Common Repository vs. Datomic vs. Rockset vs. STSdb vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. Rockset vs. STSdb vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonRockset  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed 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 networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA scalable, reliable search and analytics service in the cloud, built on RocksDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comrockset.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comdocs.rockset.com
DeveloperAtos Convergence CreatorsCognitectRocksetSTS Soft SCTeradata
Initial release20162012201920112005
Current release17031.0.6735, June 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureC++C#
Server operating systemsLinuxAll OS with a Java VMhostedWindowsLinux
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesFlexible 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 dateoptionalyesdynamic typingyes infoprimitive types and user defined types (classes)yes
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 infoingestion from XML files supportedyes infoin Aster File Store
Secondary indexesyesyesall fields are automatically indexednoyes
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsnoyes
APIs and other access methodsLDAPRESTful HTTP APIHTTP REST.NET Client APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsClojure
Java
Go
Java
JavaScript (Node.js)
Python
C#
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsnonoR packages
TriggersyesBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peersAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyesnoneyes 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 ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentno
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users and organizations can be defined via Rockset consolenofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDatomicRocksetSTSdbTeradata Aster
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