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DBMS > Ehcache vs. GeoSpock vs. RDF4J vs. YTsaurus

System Properties Comparison Ehcache vs. GeoSpock vs. RDF4J vs. YTsaurus

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeoSpock  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYTsaurus  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsSpatial 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.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelKey-value storeRelational DBMSRDF storeDocument store
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitewww.ehcache.orggeospock.comrdf4j.orgytsaurus.tech
Technical documentationwww.ehcache.org/­documentationrdf4j.org/­documentationytsaurus.tech/­docs/­en
DeveloperTerracotta Inc, owned by Software AGGeoSpockSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yandex
Initial release200920042023
Current release3.10.0, March 20222.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaC++
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Unix
Windows
Ubuntu
Data schemeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnotemporal, categoricalyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noYQL, an SQL-based language, is supported
APIs and other access methodsJCacheJDBCJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaJava
PHP
Python
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes
Triggersyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Servernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes 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.yesno
User concepts infoAccess controlnoAccess rights for users can be defined per tablenoAccess Control Lists

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More resources
EhcacheGeoSpockRDF4J infoformerly known as SesameYTsaurus
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