AgensGraph: a Multi-model Graph Database for the Modern Connected Data Environment
Recently, graph data is emerging everywhere including manufacturing industries, biological databases, heath cares, network device information, fraud detection, IOT, logistics and social networks. Traditionally, graph data is considered to be hard to process in relational databases because they have highly connected relationships. But to prepare the evolutionary connected data era, industries have to be able to make their data more connected and process the connected efficiently. AgensGraph is an opensource graph database ready for enterprise use. It is highly optimized for graph data processing and supports multiple data models including graph data model and JSON document and relational model. This talk will give the overview of AgensGraph: what it provides, what is the difference from other graph databases and benchmark results.
Kisung Kim is CTO of Bitnine Global Inc. Kisung Kim is a chief architect and developer of Agens Graph, which is a new graph database based on PostgreSQL. Before joining Bitnine he worked for 5 years in Tmaxsoft for developing relational database engine in Korea.