Change Data Capture Services
Packages & Pricing.

Change data capture services from PostgreSQL to your warehouse

Change data capture services stream every insert, update and delete from your PostgreSQL database into BigQuery or Snowflake as it happens, without slowing the app. Omeiro builds the pipeline on Debezium and Kafka, so analysts query fresh data instead of yesterday's dump.

Reading the database log rather than hammering tables with queries is what keeps the load on production close to zero.

Change data capture from PostgreSQL: what to check first

Change data capture depends on how your source database is configured. PostgreSQL needs logical replication enabled, a replication user and enough disk to hold the write-ahead log while the connector catches up. Share your Postgres version, hosting provider, table list and largest tables, so the initial snapshot is planned. Tables without primary keys need a decision, since updates and deletes are harder to apply.

A common mistake is ignoring replication slots, which can fill the source disk if a consumer stops. Change data capture here includes lag monitoring and alerts on higher tiers, and a documented recovery path. Deletes are handled deliberately, either as soft flags or removals in the target. The result is a warehouse copy that follows your application closely instead of waiting for nightly dumps.