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||8.8, January 2019|
|License Commercial or Open Source||commercial limited edition free|
|Cloud-based only Only available as a cloud service||no Named S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.|
|DBaaS offerings (sponsored links) Database as a Service|
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|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.
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.
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
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.
If Johnny Mnemonic Smuggled Linked Data
Semantic Technology and the Way We See the World
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|GraphDB former name: OWLIM|
|Recent citations in the news|
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provided by Google News
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