Case Study: Maslow achieves relationship-driven recommendations and faster development with Neo4j

Maslow - Customer Case Study

Maslow is building a card-based social network (question, text, image and link cards) that relies on rich, evolving connections between users and content. The team needed a data platform that could handle relationship-heavy queries, power personalized recommendations and future machine‑learning/AI features, and avoid constantly redesigning schemas as new patterns emerged.

They chose Neo4j as the graph database, making relationships first‑class citizens and enabling powerful pattern matching and filtering. That choice simplified developer work, made features like “Users You Might Know” easy to implement without complex JOINs, improved recommendation capabilities, and positioned the product well for advanced ML-driven personalization.

Maslow

Mark Joslin

Chief Technology Officer