create_auto_cdc_from_snapshot_flow vs create_auto_cdc_flow – when is snapshot CDC actually worth it?

[batch_bender]

I am deciding between create_auto_cdc_from_snapshot_flow() and create_auto_cdc_flow() in a pipeline.

My source is a daily full snapshot table:

• No operation column (no insert/update/delete flags)

• Order can be derived from snapshot_date (sequence by)
• Rows are unique based on key id

create_auto_cdc_from_snapshot_flow() fits this model, but it requires the source lambda returning (DataFrame, snapshot_version), which feels heavy to implement compared to just producing CDC rows and using create_auto_cdc_flow().

So the question is:

For a system that only provides full daily snapshots (no row-level operations), what are the real technical advantages of using create_auto_cdc_from_snapshot_flow()?

Is snapshot-based AUTO CDC mainly a convenience API, or does it give better correctness, SCD2 handling, or performance guarantees than  create_auto_cdc_flow() approach?