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DBMS > Hive vs. RDFox

System Properties Comparison Hive vs. RDFox

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonRDFox  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score71.83
Rank#18  Overall
#12  Relational DBMS
Score0.30
Rank#326  Overall
#28  Graph DBMS
#18  RDF stores
Websitehive.apache.orgwww.oxfordsemantic.tech
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oxfordsemantic.tech
DeveloperApache Software Foundation infoinitially developed by FacebookOxford Semantic Technologies
Initial release20122017
Current release3.1.3, April 20226.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Data schemeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC++
Java
PHP
Python
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesRoles, resources, and access types

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HiveRDFox
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