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GraphDB System Properties
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|Editorial information provided by DB-Engines|
|Name||GraphDB former name: OWLIM|
|Description||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.|
|Primary database model||Graph DBMS|
|Social network pages|
|Current release||10.2, February 2023|
|License Commercial or Open Source||commercial Some plugins of GraphDB Workbench are open sourced|
|Cloud-based only Only available as a cloud service||no|
|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; RDF shapes|
|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||stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC|
|APIs and other access methods||GeoSPARQL|
Sesame REST HTTP Protocol
|Supported programming languages||.Net|
|Partitioning methods Methods for storing different data on different nodes||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source 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||Default 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 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 RDF4J 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.
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|GraphDB former name: OWLIM|
|Recent citations in the news|
Ontotext's New AI-powered Target Discovery Solution Enables Life ...
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Ontotext GraphDB Passes the Linked Data Benchmarking Council's Social Network and the Semantic Publishing Benchmarks
Ontotext's GraphDB 10 Brings Modern Data Architectures to the ...
The Great Graph Debate: Revolutionary concept in databases or niche curiosity?
provided by Google News
Ontology Senior Data Engineer
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