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DBMS > GraphDB

GraphDB System Properties

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM
DescriptionEnterprise-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.
Primary database modelGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.27
Rank#110  Overall
#7  Graph DBMS
#4  RDF stores
Websitewww.ontotext.com
Technical documentationgraphdb.ontotext.com/­documentation
DeveloperOntotext
Initial release2000
Current release9.6, February 2021
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourced
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapes
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 SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
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 procedureswell-defined plugin interfaces; JavaScript server-side extensibility
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source 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 controlDefault 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.
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 RDF4J framework. Loading, reasoning and query evaluation proceed fast even against huge ontologies and knowledge bases.

Competitive advantages

GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment with its functions such as inserting and transforming any type of data into RDF format, the SPARQL editor, FTS connectors, visualization, geospatial and ranking. GraphDB offers Data Reconciliation, Ontology visualization and high-performance cluster proven to scale in a production environment. GraphDB offers also MongoDB integration for large-scale metadata management, semantic similarity search, based on graph embeddings, fast and flexible full-text search (FTS) connectors, such as SOLR and Elasticsearch.

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, The British Museum, Getty Trust, UK Parliament, Raytheon, Korea Telecom, Springer Nature, Elsevier, Oxford University Press, Wiley, S&P Global Platts, 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 are key.

Licensing and pricing models

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

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

Data Virtualization with GraphDB
Webinar, 4pm GMT / 5pm CEST / 6pm EET / 10am EST / 7am PST, 4 February 2021 (finished)

Generate Value from Your Knowledge Graph in Days
11am EST | 4pm GMT | 5pm CET, 4 March 2021 (finished)

Recent citations in the news

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

Johnson Controls Selects Ontotext's GraphDB for the New Version of Metasys Building Automation System
18 November 2020, PRNewswire

eccenca and Ontotext Partner to Advance Enterprise Data Management
3 February 2021, PRNewswire

provided by Google News




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