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DBMS > GeoSpock vs. Hypertable vs. RDF4J

System Properties Comparison GeoSpock vs. Hypertable vs. RDF4J

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHypertable  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleAn open source BigTable implementation based on distributed file systems such as HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSWide column storeRDF store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegeospock.comrdf4j.org
Technical documentationrdf4j.org/­documentation
DeveloperGeoSpockHypertable Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20092004
Current release2.0, September 20190.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++Java
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyes
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 indexestemporal, categoricalrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBCC++ API
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users can be defined per tablenono

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More resources
GeoSpockHypertableRDF4J infoformerly known as Sesame
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