DBMS > GraphDB
GraphDB System Properties
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|Editorial information provided by DB-Engines|
|Name||GraphDB former name: OWLIM|
|Description||Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization support|
|Primary database model||Graph DBMS|
|Current release||8.3.0, August 2017|
|License Commercial or Open Source||commercial limited edition free|
|Cloud-based Only available as a cloud service||no Named S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.|
|Server operating systems||All OS with a Java VM|
|Data scheme||schema-free and OWL/RDFS-schema support|
|Typing predefined data types such as float or date||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|Secondary indexes||yes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes|
|SQL Support of SQL||SPARQL is used as query language|
|APIs and other access methods||GeoSPARQL|
Sesame REST HTTP Protocol
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||Java Server Plugin|
|Partitioning methods Methods for storing different data on different nodes||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-master replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)|
|Foreign keys Referential integrity||yes Constraint checking|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|User concepts Access control||yes|
|More information provided by the system vendor|
|GraphDB former name: OWLIM|
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.
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.
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
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
3rd party products and services
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|GraphDB former name: OWLIM|
|Conferences and events|
Online Course: Designing Semantic Technology Proof-of-Concept
Creating Custom Graph Views Over your RDF Data
Transforming your Graph Analytics with GraphDB 8.3
|Recent citations in the news|
Ontotext Announces New Free Version Of GraphDB
Graph databases and RDF: It's a family affair
GraphDB 8 Builds 360-degree Enterprise Data View as Linked Data
GraphDB Makes Enterprise Knowledge Discovery Faster and Richer
Ontotext Improves Its RDF Triplestore, GraphDB™ 6.0: Enterprise Resilience, Faster Loading Speeds and Connectors ...
provided by Google News