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DBMS > AllegroGraph vs. Ehcache vs. Hawkular Metrics vs. Quasardb vs. RDFox

System Properties Comparison AllegroGraph vs. Ehcache vs. Hawkular Metrics vs. Quasardb vs. RDFox

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonEhcache  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonQuasardb  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA widely adopted Java cache with tiered storage optionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed, high-performance timeseries databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeTime Series DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websiteallegrograph.comwww.ehcache.orgwww.hawkular.orgquasar.aiwww.oxfordsemantic.tech
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.ehcache.org/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.quasar.ai/­masterdocs.oxfordsemantic.tech
DeveloperFranz Inc.Terracotta Inc, owned by Software AGCommunity supported by Red HatquasardbOxford Semantic Technologies
Initial release20042009201420092017
Current release8.0, December 20233.10.0, March 20223.14.1, January 20246.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyes infoRDF schemasschema-freeschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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 possiblenonono
Secondary indexesyesnonoyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like query languageno
APIs and other access methodsRESTful HTTP API
SPARQL
JCacheHTTP RESTHTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
JavaGo
Java
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonono
Triggersyesyes infoCache Event Listenersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoby using Terracotta ServerSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta Serverselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoTransient modeyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnonoCryptographically strong user authentication and audit trailRoles, resources, and access types
More information provided by the system vendor
AllegroGraphEhcacheHawkular MetricsQuasardbRDFox
News

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16 September 2024

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10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Podcast – Gartner AI Hype Cycle – Knowledge Graphs and Neuro-Symbolic AI
24 August 2024

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AllegroGraphEhcacheHawkular MetricsQuasardbRDFox
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