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DBMS > Atos Standard Common Repository vs. Hive vs. Kdb vs. Newts vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. Hive vs. Kdb vs. Newts vs. RDF4J

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonKdb  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 software for querying and managing large distributed datasets, built on HadoopHigh performance Time Series DBMSTime Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMS
Vector DBMS
Time Series DBMSRDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score7.69
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.04
Rank#383  Overall
#42  Time Series DBMS
Score0.72
Rank#234  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgkx.comopennms.github.io/­newtsrdf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homecode.kx.comgithub.com/­OpenNMS/­newts/­wikirdf4j.org/­documentation
DeveloperAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookKx Systems, a division of First Derivatives plcOpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201620122000 infokdb was released 2000, kdb+ in 200320142004
Current release17033.1.3, April 20223.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
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 languageJavaJavaqJavaJava
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-freeyes infoRDF Schemas
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.yesyesno
Secondary indexesyesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (q)nono
APIs and other access methodsLDAPJDBC
ODBC
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
Java API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages with LDAP bindingsC++
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaJava
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsnoyes
Triggersyesnoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and rolesrights management via user accountsnono
More information provided by the system vendor
Atos Standard Common RepositoryHiveKdbNewtsRDF4J infoformerly known as Sesame
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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Atos Standard Common RepositoryHiveKdbNewtsRDF4J infoformerly known as Sesame
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