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DBMS > RDF4J vs. Spark SQL vs. StarRocks

System Properties Comparison RDF4J vs. Spark SQL vs. StarRocks

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
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 processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRDF storeRelational DBMSRelational DBMS
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
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiterdf4j.orgspark.apache.org/­sqlwww.starrocks.io
Technical documentationrdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release200420142020
Current release3.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++, Java
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesJava
PHP
Python
Java
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usednono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonoRole based access control and fine grained access rights

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More resources
RDF4J infoformerly known as SesameSpark SQLStarRocks
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