AgensGraph: A Graph DB Helping to Solve World Hunger
Last year at PostgresConf Silicon Valley 2018, Bitnine introduced AgensGraph, the multi-model graph database built on PostgreSQL, and its contribution to the United Nations’ humanitarian activity in helping to solve world hunger. This use case is unlike any others because the graph database was not used for the organization’s business profits, but for the people who suffered from malnutrition and starvation.
DZone’s 2019 Guide to Databases: Evolving Solutions and Toolsets was released this year, containing articles about various databases from SQL to NoSQL. Among these contents, Jo Stichbury, who recently wrote an article on DZone about Kyowon’s personalized online learning, has addressed a detailed use case of AgensGraph’s contribution to the UN World Food Programme.
Following is an excerpt from Jo Stichbury’s story, questioning the challenge the Vulnerability Analysis and Mapping (VAM) unit faced within the WFP.
“The VAM unit needed to consolidate their data about food consumption and expenditure. This data was collected by surveying different regions about diverse food groups, different units of measurement, varying currencies, and multiple food sources (such as whether food is purchased from a market, grown at home, or whether it comes via government distribution). How to collate this vital data into a single, useful repository?”
If you would like to know more about this unique case, please download DZone’s 2019 Guide to Databases and find our UN story on pages 14 and 15.
If you have any questions about AgensGraph, please feel free to contact us.
Thank you! 😀