Semantic graph databases (also called RDF triplestores) provide the core infrastructure for solutions where modelling agility, data integration, relationship exploration and cross-enterprise data …

Jul 12, 2025 · What is a Graph Database? A graph database (GDB) is a database that uses graph structures for storing data. It uses nodes, edges, and properties instead of tables or documents to …

GraphDB, the most versatile graph database on the market, is accelerating enterprises worldwide to embrace semantic layer that unifies meaning across fragmented data, metadata, and knowledge silos.

In this article, we'll take a closer look at what graph databases are, how they work, and why they're becoming increasingly popular in the world of data management. What is a Graph Database? At its …

GraphDB is a fully-functional semantic graph database (RDF Triplestore). It stores your business data in a unified whole, also known as a knowledge graph. You can use the platform to build information …

Jul 8, 2025 · Latest version of the leading database engine powers enterprise AI with knowledge-grounded data, LLM integration, and scalable graph performance.

"GraphDB: Visualization, creating and executing SPARQL queries, inference, supporting all RDF languages. There is a free edition available."

Ontotext GraphDB is a highly efficient, scalable and robust graph database with RDF and SPARQL support. GraphDB is one of the few triplestores that can perform real-time semantic inferencing at …

Graph databases make it easier to retrieve complex hierarchical structures. GraphDB relies on SPARQL queries, text mining as well as semantic annotations and advanced search to infer new meaning...

Jul 8, 2025 · Latest version of the leading database engine powers enterprise AI with knowledge-grounded data, LLM integration, and scalable graph performance.