Neo4j's Emil Eifrem on Graph Databases and Machine Learning - The New Stack

When it comes to machine learning and the GraphDB database system, "We're in the first inning of a nine-inning game," said Emil Eifrem, CEO and founder of Neo4j. "If you look at machine learning algorithms, they are written in graph language, or can be expressed in graph language." Speaking from Fort Mason in San Francisco at the GraphTour event earlier this year, Eifrem talks in this episode of The New Stack Makers podcast about graph databases, how they are different from relational databases, and how this decade-old technology is keeping up with the new kids on the block. Graph databases are about connecting data so that it can be accessed by its relationship to other data. The Neo4j graph database began as an idea from seeing a specific pain point at a small startup in Sweden.