Snowflake Openflow Shows Six Production Trade-offs for Database CDC Users

Snowflake's managed data integration service, Openflow, built on Apache NiFi, works in production, but teams running database change data capture report six recurring trade-offs. Runtime sizing is fixed at creation and CDC connectors run on a single node, so capacity must be planned for peak volume. Costs are split across several billing meters, and in bring-your-own-cloud deployments the customer also pays the cloud provider. Destination naming defaults to source names and is locked in before the first snapshot, and schema changes such as primary key or numeric precision edits can halt replication for affected tables. The guide also notes that Gen 2 runtimes are generally available while Gen 2 connectors remain in preview for some sources.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
Discussion (0)
Log in to join the discussion and vote.
Log in