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DBMS > Atos Standard Common Repository vs. Netezza vs. Postgres-XL vs. SpatiaLite vs. TypeDB

System Properties Comparison Atos Standard Common Repository vs. Netezza vs. Postgres-XL vs. SpatiaLite vs. TypeDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTypeDB infoformerly named Grakn  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 networksData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpatial extension of SQLiteTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSSpatial DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score1.72
Rank#149  Overall
#3  Spatial DBMS
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­netezzawww.postgres-xl.orgwww.gaia-gis.it/­fossil/­libspatialite/­indextypedb.com
Technical documentationwww.postgres-xl.org/­documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmltypedb.com/­docs
DeveloperAtos Convergence CreatorsIBMAlessandro FurieriVaticle
Initial release201620002014 infosince 2012, originally named StormDB20082016
Current release170310 R1, October 20185.0.0, August 20202.26.3, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licenseOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGPL Version 3, commercial licenses available
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++Java
Server operating systemsLinuxLinux infoincluded in applianceLinux
macOS
server-lessLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
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.yesyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyes infodistributed, parallel query executionyesno
APIs and other access methodsLDAPJDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesAll languages with LDAP bindingsC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesuser defined functionsnono
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioningnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoMVCCACIDACID
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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Atos Standard Common RepositoryNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLSpatiaLiteTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Atos Standard Common RepositoryNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLSpatiaLiteTypeDB infoformerly named Grakn
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