From Click to Checkout: Sub-Second Personalization on One Lakehouse

How ClickHouse, Postgres, and WarehousePG share one Iceberg lakehouse

Personalization is only as good as the freshness of the data behind it. This webinar demos how EDB Postgres AI Analytics delivers sub-second next-best-action on a single copy of data, using Apache Iceberg tables shared through one catalog. Postgres, WarehousePG, and ClickHouse each do what they’re best at: transactions, deep historical analysis, and live event scans. The result is real-time decisions with no pipelines between engines and room to add new ones later.

See how ClickHouse, Postgres, and WarehousePG work from one copy of data in Apache Iceberg to deliver a personalized offer before the shopper reaches checkout.

Who should watch? 

Data and platform architects, personalization and loyalty teams, and anyone weighing where ClickHouse fits alongside Postgres in a lakehouse.

Speakers

Jack Christie

Jack Christie

Senior Product Marketing Manager, EDB

Dunith Danushka

Dunith Danushka

Principal Technical Field PMM, EDB