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DBMS > Apache Jena - TDB vs. EJDB vs. GraphDB vs. Hawkular Metrics vs. InterSystems IRIS

System Properties Comparison Apache Jena - TDB vs. EJDB vs. GraphDB vs. Hawkular Metrics vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonEJDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRDF storeDocument storeGraph DBMS
RDF store
Time Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.27
Rank#297  Overall
#44  Document stores
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­Softmotions/­ejdbwww.ontotext.comwww.hawkular.orgwww.intersystems.com/­products/­intersystems-iris
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgraphdb.ontotext.com/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software Foundation infooriginally developed by HP LabsSoftmotionsOntotextCommunity supported by Red HatInterSystems
Initial release20002012200020142018
Current release4.9.0, July 202310.4, October 20232023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoGPLv2commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaJava
Server operating systemsAll OS with a Java VMserver-lessAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Windows
AIX
Linux
macOS
Ubuntu
Windows
Data schemeyes infoRDF Schemasschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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.nonoyes
Secondary indexesyesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLnonostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
in-process shared libraryGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP RESTJDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnowell-defined plugin interfaces; JavaScript server-side extensibilitynoyes
Triggersyes infovia event handlernonoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replicationselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess control via Jena SecuritynoDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.noyes
More information provided by the system vendor
Apache Jena - TDBEJDBGraphDB infoformer name: OWLIMHawkular MetricsInterSystems IRIS
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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