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DBMS > HyperSQL vs. RDFox vs. Splice Machine

System Properties Comparison HyperSQL vs. RDFox vs. Splice Machine

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonRDFox  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBHigh 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 modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitehsqldb.orgwww.oxfordsemantic.techsplicemachine.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.oxfordsemantic.techsplicemachine.com/­how-it-works
DeveloperOxford Semantic TechnologiesSplice Machine
Initial release200120172014
Current release2.7.2, June 20236.0, Septermber 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infobased on BSD licensecommercialOpen 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 languageJavaC++Java
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes infoRDF schemasyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava, SQLyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonereplication 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 systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRoles, resources, and access typesAccess rights for users, groups and roles according to SQL-standard

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More resources
HyperSQL infoalso known as HSQLDBRDFoxSplice Machine
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