Case Study
Graph-Based Relationship Visualization
October 2022StoriedPythonGraph 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.