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DBMS > EventStoreDB vs. GeoSpock vs. RDF4J vs. SAP HANA

System Properties Comparison EventStoreDB vs. GeoSpock vs. RDF4J vs. SAP HANA

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP HANA  Xexclude from comparison
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.In-memory, column based data store. Available as appliance or cloud service
Primary database modelEvent StoreRelational DBMSRDF storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#181  Overall
#1  Event Stores
Score0.16
Rank#299  Overall
#138  Relational DBMS
Score0.73
Rank#204  Overall
#9  RDF stores
Score55.09
Rank#21  Overall
#13  Relational DBMS
Websitewww.eventstore.comgeospock.comrdf4j.orgwww.sap.com/­products/­hana.html
Technical documentationdevelopers.eventstore.comdocs.geospock.com/­Content/­Home.htmrdf4j.org/­documentationhelp.sap.com/­hana
DeveloperEvent Store LimitedGeoSpockSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP
Initial release201220042010
Current release21.2, February 20212.0, September 20192.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJava
Server operating systemsLinux
Windows
hostedLinux
OS X
Unix
Windows
Appliance or cloud-service
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.nono
Secondary indexestemporal, categoricalyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyes
APIs and other access methodsJDBCJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesJava
PHP
Python
Server-side scripts infoStored proceduresnoyesSQLScript, R
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlAccess rights for users can be defined per tablenoyes

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More resources
EventStoreDBGeoSpockRDF4J infoformerly known as SesameSAP HANA
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