Percona Live 2017 Open Source Database Conference

April 24 - 27, 2017

Santa Clara, California

AgensGraph: a Multi-model Graph Database for the Modern Connected Data Environment

AgensGraph: a Multi-model Graph Database for the Modern Connected Data Environment

 27 April - 12:50 PM - 1:40 PM @ Room 209
Experience level: 
Intermediate
Duration: 
50 minutes conference
Tracks:
Business / Case Studies
Topics:
Other OSDB

Description

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.

Speakers

Kisung Kim's picture

Kisung Kim

CTO, BitNine

Biography:

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.

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