High Performance GraphDBs & Use Cases

Over the past decade Graph DBs have become an indispensable asset in dealing with networked and non-relational data. However, as the amount of data ingested into Graph DBs has exploded, the performance of Graph DBs has become a key criterion when determining which Graph DB to use. In addition the it is critical for organizations to understand the type of use cases in which Graph DBs make sense relative to more traditional SQL or other types of NoSQL DBs.

This Mastermind talk was presented by Jon Herke - Developer Advocate at Tigergraph - one of the world's best high-performance Graph DB companies. Jon will dig into what makes for a high-performance Graph DB as well as highlight use cases, ranging from money laundering to real-time analytics in omnichannel customer interaction, where Graph DBs are not simply an option, but perhaps the only choice available to organizations.