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DBMS > RDF4J vs. Spark SQL vs. TempoIQ vs. TerminusDB

System Properties Comparison RDF4J vs. Spark SQL vs. TempoIQ vs. TerminusDB

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processingScalable analytics DBMS for sensor data, provided as a service (SaaS)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRDF storeRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#230  Overall
#9  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiterdf4j.orgspark.apache.org/­sqltempoiq.com (offline)terminusdb.com
Technical documentationrdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationTempoIQDataChemist Ltd.
Initial release2004201420122018
Current release3.5.0 ( 2.13), September 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaProlog, Rust
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeyes infoRDF Schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (WOQL)
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJava
PHP
Python
Java
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnoyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usednonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonosimple authentication-based access controlRole-based access control

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RDF4J infoformerly known as SesameSpark SQLTempoIQ infoformerly TempoDBTerminusDB infoformer name was DataChemist
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