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DBMS > AllegroGraph vs. Ehcache vs. GBase vs. RDF4J

System Properties Comparison AllegroGraph vs. Ehcache vs. GBase vs. RDF4J

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonEhcache  Xexclude from comparisonGBase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA widely adopted Java cache with tiered storage optionsWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeRelational DBMSRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteallegrograph.comwww.ehcache.orgwww.gbase.cnrdf4j.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.ehcache.org/­documentationrdf4j.org/­documentation
DeveloperFranz Inc.Terracotta Inc, owned by Software AGGeneral Data Technology Co., Ltd.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2004200920042004
Current release8.0, December 20233.10.0, March 2022GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
OS X
Unix
Windows
Data schemeyes infoRDF schemasschema-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.no infobulk load of XML files possiblenoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoStandard with numerous extensionsno
APIs and other access methodsRESTful HTTP API
SPARQL
JCacheADO.NET
C API
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
JavaC#Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functionsyes
Triggersyesyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoby using Terracotta Serverhorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta Serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes 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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyesno
More information provided by the system vendor
AllegroGraphEhcacheGBaseRDF4J infoformerly known as Sesame
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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