Data Integration Patterns in Knowledge Graph Building with GraphDB
Read about how to build a knowledge graph, diving into the different design patterns and their trade-offs as outlined by our CTO Vassil Momtchev
GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and Skies
Read about three inspiring GraphDB-powered use cases of connecting data in a meaningful way to enable smart buildings, interoperable design engineering and ontology-based air-traffic control
Ingesting Data in GraphDB Using the Kafka Sink Connector
Read about how to integrate the Kafka Sink Connector with GraphDB, enabling efficient data transfer from Kafka to GraphDB.
Benchmark Results Position GraphDB As the Most Versatile Graph Database Engine
GraphDB is the first engine to pass both LDBC Social Network and Semantic Publishing benchmarks, proving its unique capability to handle graph analytics and metadata management workloads simultaneously.
Building Your Human Benchmark with Ontotext Metadata Studio
Read about the importance of human benchmarks and how Ontotext Metadata Studio empowers enterprises to implement and continuously improve the quality of their text analytics solutions
GraphDB in Action: Putting the Most Reliable RDF Database to Work for Better Human-machine Interaction
Read about the world of academia research projects that use GraphDB to meet the challenges of heterogeneous data across various domains
