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DBMS > Prometheus vs. RDF4J vs. RRDtool

System Properties Comparison Prometheus vs. RDF4J vs. RRDtool

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Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionOpen-source Time Series DBMS and monitoring systemRDF4J 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 modelTime Series DBMSRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.33
Rank#51  Overall
#3  Time Series DBMS
Score0.65
Rank#228  Overall
#9  RDF stores
Score1.75
Rank#134  Overall
#11  Time Series DBMS
Websiteprometheus.iordf4j.orgoss.oetiker.ch/­rrdtool
Technical documentationprometheus.io/­docsrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias Oetiker
Initial release201520041999
Current release1.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
HP-UX
Linux
Data schemeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateNumeric data onlyyesNumeric 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.no infoImport of XML data possibleno infoExporting into and restoring from XML files possible
Secondary indexesnoyesno
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP/JSON APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
in-process shared library
Pipes
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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 proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenone
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlnonono

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More resources
PrometheusRDF4J infoformerly known as SesameRRDtool
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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Time Series DBMS as a new trend?
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