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DBMS > Atos Standard Common Repository vs. Kdb vs. Microsoft Azure Table Storage vs. Newts vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. Kdb vs. Microsoft Azure Table Storage vs. Newts vs. RDF4J

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Table Storage  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 networksHigh performance Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasetsTime 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
Time Series DBMS
Vector DBMS
Wide column storeTime Series DBMSRDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comazure.microsoft.com/­en-us/­services/­storage/­tablesopennms.github.io/­newtsrdf4j.org
Technical documentationcode.kx.comgithub.com/­OpenNMS/­newts/­wikirdf4j.org/­documentation
DeveloperAtos Convergence CreatorsKx Systems, a division of First Derivatives plcMicrosoftOpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162000 infokdb was released 2000, kdb+ in 2003201220142004
Current release17033.6, May 2018
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqJavaJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-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.yesyesnono
Secondary indexesyesyes infotable attribute 'grouped'nonoyes
SQL infoSupport of SQLnoSQL-like query language (q)nonono
APIs and other access methodsLDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIHTTP 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
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJava
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnonoyes
Triggersyesyes infowith viewsnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnooptimistic lockingnoACID 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.yesyesnono
User concepts infoAccess controlLDAP bind authenticationrights management via user accountsAccess rights based on private key authentication or shared access signaturesnono
More information provided by the system vendor
Atos Standard Common RepositoryKdbMicrosoft Azure Table StorageNewtsRDF4J 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...
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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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More resources
Atos Standard Common RepositoryKdbMicrosoft Azure Table StorageNewtsRDF4J infoformerly known as Sesame
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