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DBMS > GraphDB

GraphDB System Properties

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization support
Primary database modelGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.72
Rank#159  Overall
#11  Graph DBMS
#6  RDF stores
Websitegraphdb.ontotext.com
Technical documentationgraphdb.ontotext.com/­documentation
DeveloperOntotext
Initial release2000
Current release8.5.0, March 2018
License infoCommercial or Open Sourcecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.
Implementation languageJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLSPARQL is used as query language
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Server Plugin
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integrityyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlyes
More information provided by the system vendor
GraphDB infoformer name: OWLIM
Specific characteristics

GraphDB Enterprise is a high-performance semantic repository created by Ontotext. It is implemented in Java and packaged as a Storage and Inference Layer (SAIL) for the Sesame RDF framework. Loading, reasoning and query evaluation proceed fast even against huge ontologies and knowledge bases.

Competitive advantages

Compliance to W3C standards, performant, extensible, scalable, high-availability cluster, expressive, rich and flexible data model.

Typical application scenarios

Metadata enrichment and management, linked open data publishing, semantic inferencing at scale, enterprise semantic search applications and data warehousing.

Key customers

BBC, Press Association, Financial Times, DK, Euromoney, AstraZeneca, The British Museum, Getty Trust, UK Parliament, Raytheon, Korea Telecom, Springer Nature, Elsevier, Oxford University Press, Wiley, and many others

Market metrics

GraphDB is the most utilized semantic triplestore for mission critical enterprise deployments. Heavy duty, high-availability, robust and scalable it fits perfectly in any enterprise infrastructure when stability and predictability is key.

Licensing and pricing models

GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual, cloud and annual subscription models are available.

Ontotext provides self-managed and fully managed semantic graph databases (RDF triplestores) in the cloud, based on GraphDB database. https://cloud.ontotext.com
News

The Power of URI or Why Odysseus Called Himself Nobody
23 November 2018

From Cultivating Nature to Cultivating Data: Semantic Technology and Viticulture
26 October 2018

SEMANTiCS 2018: An Interview with Ontotext’s CEO Atanas Kiryakov
10 September 2018

The Knowledge Graph and the Enterprise
31 August 2018

Mastering Semantic Technology for Success with Ontotext Live Online Trainings
17 August 2018

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GraphDB infoformer name: OWLIM
Conferences and events

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 3pm GMT, 8am PDT, 11am EDT, 4pm BST, 18 July 2018 (finished)

Webinar: How to Design a Successful Semantic Technology Proof-of-Concept
Webinar, 3pm GMT, 8am PDT, 11am EDT, 4pm BST, 22 August 2018 (finished)

Building AI-powered Drug Adverse Events Monitoring Service
Webinar, 3pm GMT, 8am PDT, 11am EDT, 4pm BST, 18 November 2018 (finished)

Recent citations in the news

Ontotext's GraphDB 8.7 Offers Vector-Based Concept Matching and Better Scalability, Performance and Data Governance
9 October 2018, PR Newswire

Ontotext Announces New Free Version Of GraphDB
3 December 2015, GlobeNewswire

Ontotext USA, Inc. in the KMWorld Buyers' Guide
1 October 2018, KMWorld Magazine

Graph databases and RDF: It's a family affair
19 May 2017, ZDNet

The Graph Database Poised To Pounce On The Mainstream
19 September 2018, The Next Platform

provided by Google News




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