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
Senior Product Marketing Manager, EDB
Dunith Danushka
Principal Technical Field PMM, EDB