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DBMS > EventStoreDB vs. GeoSpock vs. RDF4J

System Properties Comparison EventStoreDB vs. GeoSpock vs. RDF4J

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGeoSpock  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.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Spatial and temporal data processing engine for extreme data scaleRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelEvent StoreRelational DBMSRDF store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#181  Overall
#1  Event Stores
Score0.71
Rank#231  Overall
#9  RDF stores
Websitewww.eventstore.comgeospock.comrdf4j.org
Technical documentationdevelopers.eventstore.comrdf4j.org/­documentation
DeveloperEvent Store LimitedGeoSpockSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122004
Current release21.2, February 20212.0, September 2019
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJava
Server operating systemsLinux
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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, categoricalyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)no
APIs and other access methodsJDBCJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
PHP
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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 tableno

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More resources
EventStoreDBGeoSpockRDF4J infoformerly known as Sesame
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