Is Your Postgres Slow at Answering Analytics Questions?

​very few months a company hits the same wall: Postgres ships the product, then absorbs the dashboards, then the customer-facing analytics tab — and then one day stops keeping up. The page takes ten seconds. The API gateway times out. Read replicas don't help. Materialized views are either stale or expensive.

​In this 45-minute session, Mehdi Ouazza walks through how to graduate analytical workloads off Postgres without standing up a data warehouse. The mental model is simple: keep Postgres as the system of record, route the analytical reads to a columnar engine built for them. We'll cover the architecture, the decision points, and a hands-on walkthrough — Postgres to MotherDuck to a live dashboard.