Case Study: Kineviz achieves streamlined visualization and interactivity for complex, high-dimensional graph data with Neo4j

Kineviz - Customer Case Study

Kineviz, a San Francisco visualization firm, combines artistic cues with data science to help users perceive patterns in high-dimensional datasets. The company had struggled with scaling its own in-memory graph engines: 2D layouts and growing networks caused structures and clusters to “smash together,” making it hard to explore large, complex graphs and gain intuitive insights.

Kineviz solved this by integrating with Neo4j and moving to richer 3D visualizations, offloading hard graph and data problems to Neo4j so the team could focus on interactivity and visual design. The result was faster development, clearer separation of clusters, and improved user ability to sense and explore complex labeled-property graphs—turning messy data into actionable insight.

Kineviz

Weidong Yang

Chief Executive Officer