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DBMS > Hive vs. LeanXcale vs. RDF4J vs. SpatiaLite

System Properties Comparison Hive vs. LeanXcale vs. RDF4J vs. SpatiaLite

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLeanXcale  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpatiaLite  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spatial extension of SQLite
Primary database modelRelational DBMSKey-value store
Relational DBMS
RDF storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitehive.apache.orgwww.leanxcale.comrdf4j.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homerdf4j.org/­documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation infoinitially developed by FacebookLeanXcaleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Alessandro Furieri
Initial release2012201520042008
Current release3.1.3, April 20225.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
server-less
Data schemeyesyesyes 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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache Derbynoyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
PHP
Python
C
Java
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnono

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More resources
HiveLeanXcaleRDF4J infoformerly known as SesameSpatiaLite
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