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DBMS > Atos Standard Common Repository vs. HarperDB vs. RDF4J vs. RRDtool

System Properties Comparison Atos Standard Common Repository vs. HarperDB vs. RDF4J vs. RRDtool

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHarperDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  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 networksUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.RDF4J 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.
Primary database modelDocument store
Key-value store
Document storeRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.harperdb.iordf4j.orgoss.oetiker.ch/­rrdtool
Technical documentationdocs.harperdb.io/­docsrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsHarperDBSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias Oetiker
Initial release2016201720041999
Current release17033.1, August 20211.8.0, 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxLinux
OS X
Linux
OS X
Unix
Windows
HP-UX
Linux
Data schemeSchema and schema-less with LDAP viewsdynamic schemayes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptionalyes infoJSON data typesyesNumeric data only
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 possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like data manipulation statementsnono
APIs and other access methodsLDAPJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
in-process shared library
Pipes
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionA table resides as a whole on one (or more) nodes in a clusternonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definednonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of specific operationsACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes, using LMDByes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesnono

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More resources
Atos Standard Common RepositoryHarperDBRDF4J infoformerly known as SesameRRDtool
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