Querying & Visualizing Graphs in Postgres with Apache AGE | POSETTE: An Event for Postgres 2026

Christian Miles presents practical techniques for visualizing graph data stored in PostgreSQL using Apache AGE. The talk addresses common visualization problems like unreadable layouts at scale and demonstrates when to use force-directed versus layered or topology-aware approaches. Ideal for developers working with connected data who need to move beyond flat row-based views of graph query results.