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DBMS > Prometheus vs. RDFox vs. Splice Machine

System Properties Comparison Prometheus vs. RDFox vs. Splice Machine

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Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonRDFox  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionOpen-source Time Series DBMS and monitoring systemHigh performance knowledge graph and semantic reasoning engineOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
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
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteprometheus.iowww.oxfordsemantic.techsplicemachine.com
Technical documentationprometheus.io/­docsdocs.oxfordsemantic.techsplicemachine.com/­how-it-works
DeveloperOxford Semantic TechnologiesSplice Machine
Initial release201520172014
Current release6.0, Septermber 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++Java
Server operating systemsLinux
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
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 possible
Secondary indexesnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP API
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federationreplication via a shared file systemMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
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, multi-version concurrency control (MVCC)
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 typesAccess rights for users, groups and roles according to SQL-standard

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More resources
PrometheusRDFoxSplice Machine
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