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DBMS > Atos Standard Common Repository vs. RDF4J vs. RRDtool vs. Splice Machine vs. Warp 10

System Properties Comparison Atos Standard Common Repository vs. RDF4J vs. RRDtool vs. Splice Machine vs. Warp 10

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  Xexclude from comparisonSplice Machine  Xexclude from comparisonWarp 10  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 networksRDF4J 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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Key-value store
RDF storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryrdf4j.orgoss.oetiker.ch/­rrdtoolsplicemachine.comwww.warp10.io
Technical documentationrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­docsplicemachine.com/­how-it-workswww.warp10.io/­content/­02_Getting_started
DeveloperAtos Convergence CreatorsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias OetikerSplice MachineSenX
Initial release20162004199920142015
Current release17031.8.0, 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSSOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache License 2.0
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 languageJavaJavaC infoImplementations in Java (e.g. RRD4J) and C# availableJavaJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
HP-UX
Linux
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyes infoRDF Schemasyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesNumeric data onlyyesyes
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.yesno infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsLDAPJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
in-process shared library
Pipes
JDBC
Native Spark Datasource
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages with LDAP bindingsJava
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoJavayes infoWarpScript
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoIsolation support depends on the API usednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationnonoAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Atos Standard Common RepositoryRDF4J infoformerly known as SesameRRDtoolSplice MachineWarp 10
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