Knowledge graphs are key to both maximizing the power of data and enabling effective analytics. Ontotext's GraphDB database engine excels at delivering knowledge graphs, managing diverse facts and rich metadata using the Semantic Web standards. GraphDB Enterprise Edition gives you this with massive scalability, high availability across different time zones, and all the management tools of a modern cloud infrastructure. By supporting all W3C RDF-related standards such as SPARQL, SHACL, RDFS, and multiple OWL profiles, GraphDB lets you take full advantage of semantic technology to build your knowledge graphs. In addition to the reasoning, inferencing, and data quality checking that implementation of these standards enables, GraphDB includes built-in text and data analytics that can extract even more meaning from your data to store as temporary or permanent additions in existing or new knowledge graphs. Ontotext customers around the world use GraphDB for data integration, data enrichment, publishing, metadata management, and more. An ecosystem of more than 50 partners continue to use Ontotext technology to provide new services and applications to an even broader range of customers. With GraphDB Enterprise Edition, you can get all these advantages with repositories holding up to a billion RDF triples, backed by a dedicated support team. GraphDB's web-based interface makes database administration easy, and its support for REST APIs such as RDF4J's lets large and small developers put the full power of GraphDB behind their own applications. Find out why well-known organizations in financial services, healthcare, life sciences, publishing, manufacturing, government, and more are using GraphDB to build and get the most out of their knowledge graphs.