Case Study
Graph-Based Relationship Visualization
Summary
Built new graph processing and rendering flow so users could visualize their data connections within their family trees.
Impact
Cut graph render latency by ~40% and improved customer engagement for complex dataset exploration.
Challenge
Large, highly connected datasets caused UI stalls and backend query fan-out beyond 3 generations of connections.
Architecture
Hybrid pipeline: precomputed graph transformations offline and client-side progressive rendering for interactive exploration.
Key Decisions
Applied graph partitioning and selective edge expansion to preserve usability without over-fetching irrelevant relationships.
Scale Considerations
Optimized data structures and rendering techniques to maintain responsiveness as graph size increased with deeper relationship exploration.
Last updated: July 11, 2026