Summary

Lounge needed a graph-based discovery mechanism to enable users to find new groups, events, or even each other. Users that perhaps met at a mixer event and wanted to catch-up after, or recommend a new group or event to a friend.

This involved mapping the relationships between events, groups, locations, and friends to build a living graph, making discovery easy.

This graph database provided a fast and simple to use component that slotted into their existing architecture, providing the required performance and keeping the costs low while providing the users with the discovery experience they expected from a modern social platform.

This was accompanied by a 3-day crash-course in which Lounge’s core development team were trained on how to write new graph queries, how to add new models to the graph, and how to deploy and maintain the microservice and database.