Case Study: megree achieves scalable, high-availability graph recommendations and uncovers relationship-driven business value with Neo4j

megree chooses Neo4j for its scalability, REST API and high availability

megree is a social business SaaS that helps companies see a holistic view of employee connections and the strength of those links to power recommendations and internal search. Facing scaling and complex traversal requirements beyond what their initial SQL Server/.NET alpha could handle, megree needed a way to surface relationships across proprietary networks and within corporate networks.

megree implemented the Neo4j graph database for its REST API, high availability and fast graph traversal, replacing the SQL-based approach. In just two months they met their scalability and API goals, uncovered new business value from relationship data, and are expanding Neo4j’s use beyond simple path visualizations to strengthen the product.

megree

Kevin Dieter

Co-Founder and CTO