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DBMS > Atos Standard Common Repository vs. Kinetica vs. RDF4J vs. RRDtool vs. TinkerGraph

System Properties Comparison Atos Standard Common Repository vs. Kinetica vs. RDF4J vs. RRDtool vs. TinkerGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  Xexclude from comparisonTinkerGraph  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 CPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Key-value store
Relational DBMSRDF storeTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.kinetica.comrdf4j.orgoss.oetiker.ch/­rrdtooltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.kinetica.comrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias Oetiker
Initial release20162012200419992009
Current release17037.1, August 20211.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSSOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaC infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsLinuxLinuxLinux
OS X
Unix
Windows
HP-UX
Linux
Data schemeSchema and schema-less with LDAP viewsyesyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonono
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
in-process shared library
Pipes
TinkerPop 3
Supported programming languagesAll languages with LDAP bindingsC++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresnouser defined functionsyesnono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationnonenone
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID infoIsolation support depends on the API usednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonno
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and roles on table levelnonono

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More resources
Atos Standard Common RepositoryKineticaRDF4J infoformerly known as SesameRRDtoolTinkerGraph
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