GraphDB

GraphDB: Enterprise Graph Database for Complex Data Modeling

GraphDB is an enterprise graph database optimized for storing, managing and analyzing graph-like data. It is fast, scalable, and flexible to model many kinds of complex structures. Some key features are high performance, flexible data model, inference and knowledge discovery, and security.

What is GraphDB?

GraphDB is a graph database developed by Ontotext optimized to store data in a graph structure and make it available for high-performance recall and analytics. Unlike traditional relational databases, GraphDB stores entities as nodes that are then connected by edges to form a network structure that represents relatedness and connections between data.

Some key features and capabilities of GraphDB include:

• High performance for graph queries and traversals, enabling real-time analysis and recommendations even on very large datasets
• Flexible property graph data model to represent many kinds of entities and relationships
• Support for RDF triplestores and semantic graphs using W3C standards
• Inference and knowledge discovery through customizable rules, linking data based on meanings and concepts
• Graph analytics for centrality measures, community detection, link predictions and recommendations
• Enterprise-grade security features for authentication, access control and encryption
• Scalability across nodes to process databases with billions of triples
• APIs and integration with programming languages like JavaScript, Python, Java, and more
• Visual graph browser to explore and search the database visually

GraphDB is used by organizations in industries like financial services, healthcare, government and life sciences that need to derive insights from highly connected data. It enables knowledge discovery and analytics not easy to achieve with traditional database systems.

GraphDB Features

Official Links