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DBMS > Atos Standard Common Repository vs. Kinetica vs. Netezza vs. SpatiaLite

System Properties Comparison Atos Standard Common Repository vs. Kinetica vs. Netezza vs. SpatiaLite

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKinetica  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSpatiaLite  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 networksFully vectorized database across both GPUs and CPUsData warehouse and analytics appliance part of IBM PureSystemsSpatial extension of SQLite
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.kinetica.comwww.ibm.com/­products/­netezzawww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.kinetica.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAtos Convergence CreatorsKineticaIBMAlessandro Furieri
Initial release2016201220002008
Current release17037.1, August 20215.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
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, C++C++
Server operating systemsLinuxLinuxLinux infoincluded in applianceserver-less
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and roles on table levelUsers with fine-grained authorization conceptno

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More resources
Atos Standard Common RepositoryKineticaNetezza infoAlso called PureData System for Analytics by IBMSpatiaLite
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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