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DBMS > Atos Standard Common Repository vs. Ingres vs. Kinetica vs. Newts vs. Trafodion

System Properties Comparison Atos Standard Common Repository vs. Ingres vs. Kinetica vs. Newts vs. Trafodion

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  Xexclude from comparisonNewts  Xexclude from comparisonTrafodion  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksWell established RDBMSFully vectorized database across both GPUs and CPUsTime Series DBMS based on CassandraTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.actian.com/­databases/­ingreswww.kinetica.comopennms.github.io/­newtstrafodion.apache.org
Technical documentationdocs.actian.com/­ingresdocs.kinetica.comgithub.com/­OpenNMS/­newts/­wikitrafodion.apache.org/­documentation.html
DeveloperAtos Convergence CreatorsActian CorporationKineticaOpenNMS GroupApache Software Foundation, originally developed by HP
Initial release20161974 infooriginally developed at University Berkely in early 1970s201220142014
Current release170312.0, July 20247.1, August 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageJavaCC, C++JavaC++, Java
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsyesyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesno infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsLDAP.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC++
Java
JavaScript (Node.js)
Python
JavaAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesuser defined functionsnoJava Stored Procedures
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres ReplicatorSource-replica replicationselectable replication factor infobased on Cassandrayes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.yesnoyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryIngresKineticaNewtsTrafodion
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