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DBMS > Prometheus vs. RDFox vs. Yaacomo

System Properties Comparison Prometheus vs. RDFox vs. Yaacomo

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Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonRDFox  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOpen-source Time Series DBMS and monitoring systemHigh performance knowledge graph and semantic reasoning engineOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Websiteprometheus.iowww.oxfordsemantic.techyaacomo.com
Technical documentationprometheus.io/­docsdocs.oxfordsemantic.tech
DeveloperOxford Semantic TechnologiesQ2WEB GmbH
Initial release201520172009
Current release6.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsLinux
Windows
Linux
macOS
Windows
Android
Linux
Windows
Data schemeyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateNumeric 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.no infoImport of XML data possibleno
Secondary indexesnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
Java
Server-side scripts infoStored proceduresno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federationreplication via a shared file systemSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
PrometheusRDFoxYaacomo
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