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DBMS > AllegroGraph vs. Hawkular Metrics vs. IBM Db2 warehouse vs. RDF4J

System Properties Comparison AllegroGraph vs. Hawkular Metrics vs. IBM Db2 warehouse vs. RDF4J

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Cloud-based data warehousing serviceRDF4J 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
Time Series DBMSRelational 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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteallegrograph.comwww.hawkular.orgwww.ibm.com/­products/­db2/­warehouserdf4j.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guiderdf4j.org/­documentation
DeveloperFranz Inc.Community supported by Red HatIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2004201420142004
Current release8.0, December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedLinux
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 possiblenono infoImport/export of XML data possible
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesno
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP REST.NET Client API
JDBC
ODBC
OLE DB
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
Go
Java
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoPL/SQL, SQL PLyes
Triggersyesyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnofine grained access rights according to SQL-standardno
More information provided by the system vendor
AllegroGraphHawkular MetricsIBM Db2 warehouse infoformerly named IBM dashDBRDF4J 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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