CDC

Stream changes, not tables — CDC from Postgres into the lakehouse

The intermediate pattern that replaces nightly extraction: read the write-ahead log through Debezium, stream through Kafka, dedupe by LSN, and MERGE into Delta/Iceberg.

CDC Merge Designer

• Order change events deterministically
• Handle deletes (tombstones) without losing history

Postgres → CDC → Kafka → Lakehouse

Capture changes from Postgres with Debezium, stream through Kafka, and merge into a lakehouse table with correct ordering, deletes and replay safety.

CDC stopped

Change events stopped flowing from a source and the target table is silently diverging.

Postgres CDC to Lakehouse

Batch extraction from an OLTP database loads it and still misses deletes and mid-day changes.

Debezium Documentation

Debezium's documentation — source and sink connectors, the change-event envelope format, initial snapshots, schema history handling, and the operational pitfalls of running connectors in production. The connector matrix and the events section are what you need to design a correct CDC merge; pair with our Postgres CDC lakehouse project for the full path.